AI-Lab People - Risto Miikkulainen

Risto Miikkulainen

Faculty

My research focuses on biologically-inspired computation such as neural networks and genetic algorithms. On one hand, the goal is to understand biological information processing, and on the other, to develop intelligent artificial systems that learn and adapt by observing and interacting with the environment. The three main focus areas are: (1) Cognitive Science, i.e. models of natural language processing, concept learning, and schema-based vision; (2) Computational Neuroscience, i.e. development, structure, and function of the visual cortex and episodic memory; (3) Neuroevolution, i.e. evolving neural networks with genetic algorithms for sequential decision tasks such as robotics, games, and artificial life.

Email:

risto [at] cs utexas edu

Homepage:

http://www.cs.utexas.edu/users/risto

Publications

[Expand to show all 376]

Asynchronous Evolution of Deep Neural Network Architectures	2024
Jason Liang, Hormoz Shahrzad, Risto Miikkulainen, Applied Soft Computing, Vol. 152 (2024), pp. 111209. Also arXiv:2308:04102.
Discovering Effective Policies for Land-Use Planning with Neuroevolution	2024
Risto Miikkulainen, Olivier Francon, Daniel Young, Elliot Meyerson, Clemens Schwingshackl, Jacob Bieker, Hugo Cunha, and Babak Hodjat, arXiv:2311.12304 (2024). (A shorter version appeared in the Proceedings of the NeurIPS 2023 Workshop: Tackling Climate Change with Machine Learning).
Generative AI: An AI Paradigm Shift in the Making?	2024
Risto Miikkulainen, AI Magazine (2024), pp. 1-3. https://doi.org/10.1002/aaai.12155.
NeuroComb: Improving SAT Solving with Graph Neural Networks	2024
Wenxi Wang, Yang Hu, Mohit Tiwari, Sarfraz Khurshid, Kenneth McMillan, Risto Miikkulainen, In Proceedings of the International Conference on Learning Representations, 2024. (also arXiv:2110.14053).
Optimizing the Design of an Artificial Pancreas to Improve Diabetes Management	2024
Ashok Khanna, Olivier Francon, and Risto Miikkulainen, arXiv:2402.07949 (2024).
Using context to adapt to sensor drift	2024
Jamieson Warner, Ashwin Devaraj, and Risto Miikkulainen, In Proceedings of the International Conference on Development and Learning (ICDL 2024), 2024. (also arXiv:2003.07292).
Accelerating Evolution Through Gene Masking and Distributed Search	2023
Hormoz Shahrzad and Risto Miikkulainen, To Appear In Proceedings of the Genetic and Evolutionary Computation Conference, pp. 972-980, 2023. (Also arXiv:2302.06745).
AutoInit: Analytic Signal-Preserving Weight Initialization for Neural Networks	2023
Garrett Bingham and Risto Miikkulainen, In Proceedings of the 37th AAAI Conference on Artificial Intelligence, 2023. (also arXiv:2021.08958).
Domain-Independent Lifelong Problem Solving through Distributed Alife Actors	2023
Babak Hodjat, Hormoz Shahrzad, and Risto Miikkulainen, Artificial Life (2023).
Efficient Activation Function Optimization through Surrogate Modeling	2023
Garrett Bingham and Risto Miikkulainen, In Proceedings of the 23rd Conference on Neural Information Processing Systems (NeurIPS 2023), 2023.
Evolutionary Supervised Machine Learning	2023
Risto Miikkulainen, In Handbook of Evolutionary Machine Learning, W. Banzhaf, P. Machado, and M. Zhang (Eds.), New York, 2023. Springer.
Evolving Deep Neural Networks	2023
Risto Miikkulainen, Jason Liang, Elliot Meyerson, Aditya Rawal, Dan Fink, Olivier Francon, Bala Raju, Hormoz Shahrzad, Arshak Navruzyan, Nigel Duffy, Babak Hodjat, To Appear In Artificial Intelligence in the Age of Neural Networks and Brain Computing (second edition), R. Kozma, C. Alippi, Y. Choe, and F. Morabito (Eds.), New York, 2023. Elsevier.
Evolving GAN Formulations for Higher Quality Image Synthesis	2023
Santiago Gonzalez, Mohak Kant, and Risto Miikkulainen, To Appear In Artificial Intelligence in the Age of Neural Networks and Brain Computing (second edition), R. Kozma, C. Alippi, Y. Choe, and F. C. Morabito (Eds.), New York, 2023. Elsevier. Als...
Evolving Strategies for Competitive Multi-Agent Search	2023
Erkin Bahceci, Riitta Katila, and Risto Miikkulainen, arXiv:2306.10640 (2023).
Modeling Bilingualism as a Dynamic Phenomenon in Healthy and Neurologically Affected Speakers Across the Lifespan (Commentary)	2023
Claudia Penaloza, Uli Grasemann, Risto Miikkulainen, Swathi Kiran, Language Learning, Vol. . (2023). https://doi.org/10.1111/lang.12566.
Neuroevolution Tutorial	2023
Risto Miikkulainen, No other information
Pandemic Resilience: Developing an AI-calibrated Ensemble of Models to Inform Decision Making	2023
GPAI, Technical Report, Global Partnership on Artificial Intelligence.
Shortest Edit Path Crossover: A Theory-driven Solution to the Permutation Problem in Evolutionary Neural Architecture Search	2023
Xin Qiu and Risto Miikkulainen, In Proceedings of the International Conference on Machine Learning (ICML-2023), , 2023. Also arXiv:2210.14016.
What AI Can Do for Neuroscience: Understanding How the Brain Represents Word Meanings	2023
Nora Aguirre-Celis and Risto Miikkulainen, In What AI Can Do: Strengths and Limitations of Artificial Intelligence, Manuel Cebral-Loureda, Elvira G. Rincon-Flores, and Gildardo Sanchez-Ante (Eds.), pp. 401-417, 2023. CRC Press.
Adapting to Unseen Driving Conditions Using Context-Aware Neural Networks	2022
Suhaib Abdulquddos, Masters Thesis, Department of Computer Science, The University of Texas at Austin.
Constructing Individualized Computational Models for Dementia Patients	2022
Peggy Fidelman, Uli Grasemann, Claudia Penaloza, Michael Scimeca, Yakeel T. Quiroz, Swathi Kiran, Risto Miikkulainen, In Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022.
Detecting Misclassification Errors in Neural Networks with a Gaussian Process Model	2022
Xin Qiu and Risto Miikkulainen, In Proceedings of the 36th AAAI Conference on Artificial Intelligence (AAAI-2022), 2022. (Also arXiv:2010.02065, which also includes the appendices).
DIAS: A Domain-Independent Alife-Based Problem-Solving System	2022
Babak Hodjat, Hormoz Shahrzad, Risto Miikkulainen, In Proceedings of the 2022 Conference on Artificial Life, 2022.
Discovering Parametric Activation Functions	2022
Garrett Bingham and Risto Miikkulainen, Neural Networks, Vol. 148 (2022), pp. 48-65.
Effective Mutation Rate Adaptation through Group Elite Selection	2022
Akarsh Kumar, Bo Liu, Risto Miikkulainen, and Peter Stone, In Proceedings of the Genetic and Evolutionary Computation Conference, Boston, United States, July 2022.
Effective Mutation Rate Adaptation through Group Elite Selection	2022
Akarsh Kumar, Bo Liu, Risto Miikkulainen, and Peter Stone, In Proceedings of the Genetic and Evolutionary Computation Conference, 2022. (also arXiv:2204.04817).
Evolution of Transparent Explainable Rule-sets	2022
Hormoz Shahrzad, Babak Hodjat, and Risto Miikkulainen, arXiv:2204.10438 (2022).
How the Brain Dynamically Constructs Sentence-Level Meanings From Word-Level Features	2022
Nora Aguirre-Celis and Risto Miikkulainen, Frontiers in Artificial Intelligence (2022).
Neuroevolution	2022
Risto Miikkulainen, To Appear In Encyclopedia of Machine Learning and Data Science, 3rd Edition, Dinh Phung, Claude Sammut and Geoffrey I. Webb (Eds.), New York, 2022. Springer.
Simple Genetic Operators are Universal Approximators of Probability Distributions (and other Advantages of Expressive Encodings)	2022
Elliot Meyerson, Xin Qiu, and Risto Miikkulainen, In Proceedings of the Genetic and Evolutionary Computation Conference, pp. 739--748, 2022.
A Biological Perspective on Evolutionary Computation	2021
Risto Miikkulainen and Stephanie Forrest, Nature Machine Intelligence, Vol. 3 (2021), pp. 9-15.
Creative AI through Evolutionary Computation: Principles and Examples	2021
Risto Miikkulainen, SN Computer Science, Vol. 2 (2021), pp. 163.
Effective Regularization Through Loss-Function Metalearning	2021
Santiago Gonzalez and Risto Miikkulainen, arXiv:2010.00788 (2021).
Evaluating Medical Aesthetics Treatments through Evolved Age-Estimation Models	2021
Risto Miikkulainen, Elliot Meyerson, Xin Qiu, Ujjayant Sinha, Raghav Kumar, Karen Hofmann, Yiyang Matt Yan, Michael Ye, Jingyuan Yang, Damon Caiazza, and Stephanie Manson Brown, In Proceedings of the Genetic and Evolutionary Computation Conference, pp. 1009–1017, 2021.
From Prediction to Prescription: Evolutionary Optimization of Non-Pharmaceutical Interventions in the COVID-19 Pandemic	2021
Risto Miikkulainen, Olivier Francon, Elliot Meyerson, Xin Qiu, Darren Sargent, Elisa Canzani, Babak Hodjat, To Appear In IEEE Transactions on Evolutionary Computation, Vol. 25 (2021), pp. 386-401.
Generalization of Agent Behavior through Explicit Representation of Context	2021
Cem Tutum, Suhaib Abdulquddos, Risto Miikkulainen, In Proceedings of the 3rd IEEE Conference on Games, , 2021.
Improving Neural Network Learning Through Dual Variable Learning Rates	2021
Elizabeth Liner, Risto Miikkulainen, In Proceedings of the International Joint Conference on Neural Networks, 2021.
Neuroevolution: A Synergy of Evolution and Learning	2021
Risto Miikkulainen, Plenary presentation at the Congress for Evolutionary Computation (CEC'21).
Optimizing Loss Functions Through Multivariate Taylor Polynomial Parameterization	2021
Santiago Gonzalez and Risto Miikkulainen, In Proceedings of the Genetic and Evolutionary Computation Conference, pp. 305-313, 2021.
Predicting language treatment response in bilingual aphasia using neural network-based patient models	2021
Uli Grasemann, Claudia Peñaloza, Maria Dekhtyar, Risto Miikkulainen, and Swathi Kiran , Scientific Reports, Vol. 11, 10497 (2021), pp. 1-11.
Regularized Evolutionary Population-Based Training	2021
Jason Liang, Santiago Gonzalez, Hormoz Shahrzad, and Risto Miikkulainen, In Proceedings of the Genetic and Evolutionary Computation Conference, pp. 323-331, 2021.
The Traveling Observer Model: Multi-task Learning Through Spatial Variable Embeddings	2021
Elliot Meyerson and Risto Miikkulainen, To Appear In International Conference on Learning Representations, 2021.
Understanding the Semantic Space: How Word Meanings Dynamically Adapt in the Context of a Sentence	2021
Nora Aguirre-Celis and Risto Miikkulainen, In Proceedings of the Workshop on Semantic Spaces at the Intersection of NLP, Physics, and Cognitive Science , Groningen, Netherlands, June 2021.
A Comparison of the Taguchi Method and Evolutionary Optimization in Multivariate Testing	2020
Jingbo Jiang, Diego Legrand, Robert Severn, and Risto Miikkulainen, In Proceedings of the 2020 IEEE Congress on Evolutionary Computation, 2020.
Adapting to Unseen Environments through Explicit Representation of Context	2020
Cem C Tutum, Risto Miikkulainen, In Proceedings of the 2020 Conference on Artificial Life (ALIFE 2020), pp. 581--588, Montreal, Canada, July 2020. The MIT Press.
Ascend by Evolv: AI-Based Massively Multivariate Conversion Rate Optimization	2020
Risto Miikkulainen, Myles Brundage, Jonathan Epstein, Tyler Foster, Babak Hodjat, Neil Iscoe, Jingbo Jiang, Diego Legrand, Sam Nazari, Xin Qiu, Michael Scharff, Cory Schoolland, Robert Severn, Aaron Shagrin, AI Magazine, Vol. 41 (2020), pp. 44-60.
Characterizing Dynamic Word Meaning Representations in the Brain	2020
Nora Aguirre-Celis and Risto Miikkulainen, In Proceedings of the 6th Workshop on Cognitive Aspects of the Lexicon (CogALex-VI), Barcelona, ES, December 2020.
Characterizing the Effect of Sentence Context on Word Meanings: Mapping Brain to Behavior	2020
Nora Aguirre-Celis and Risto Miikkulainen, arXiv:2007.13840 (2020).
Creative AI Through Evolutionary Computation	2020
Risto Miikkulainen, To Appear In Evolution in Action: Past, Present and Future, Banzhaf et al. (Eds.), New York 2020. Springer.
Effective Reinforcement Learning through Evolutionary Surrogate-Assisted Prescription	2020
Olivier Francon, Santiago Gonzalez, Babak Hodjat, Elliot Meyerson, Risto Miikkulainen, Xin Qiu, Hormoz Shahrzad, In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2020), 2020.
Enhanced Optimization with Composite Objectives and Novelty Pulsation	2020
Hormoz Shahrzad, Babak Hodjat, Camille Dolle, Andrei Denissov, Simon Lau, Donn Goodhew, Justin Dyer, and Risto Miikkulainen, To Appear In Genetic Programming Theory and Practice XVII 2020. Springer, New York.
Evolution of Complex Coordinated Behavior	2020
Padmini Rajagopalan, Kay E. Holekamp and Risto Miikkulainen, In 2020 IEEE Congress on Evolutionary Computation (CEC), July 2020.
Evolutionary Optimization of Deep Learning Activation Functions	2020
Garrett Bingham, William Macke, and Risto Miikkulainen, In Genetic and Evolutionary Computation Conference (GECCO '20), pp. 289-296, Cancun, Mexico, 2020.
From Nodes to Networks: Evolving Recurrent Neural Networks	2020
Aditya Rawal, Risto Miikkulainen, In Deep Neural Evolution: Deep Learning with Evolutionary Computation, H. Iba and N. Noman (Eds.), pp. 233-251 2020. Springer. (also arxiv:1803.04439).
Improved Training Speed, Accuracy, and Data Utilization Through Loss Function Optimization	2020
Santiago Gonzalez and Risto Miikkulainen, In Proceedings of the 2020 IEEE Congress on Evolutionary Computation (CEC), pp. 1-8, July 2020.
MDEA: Malware Detection with Evolutionary Adversarial Learning	2020
Xiruo Wang, Risto Miikkulainen, In Proceedings of the 2020 IEEE Congress on Evolutionary Computation, 2020.
Quantifying Point-Prediction Uncertainty in Neural Networks via Residual Estimation with an I/O Kernel	2020
Xin Qiu, Elliot Meyerson, Risto Miikkulainen, In International Conference on Learning Representations, 2020.
The Traveling Observer Model: Multi-task Learning Through Spatial Variable Embeddings	2020
Elliot Meyerson and Risto Miikkulainen, arxiv:2010.02354 (2020).
Designing Neural Networks through Evolutionary Algorithms	2019
Kenneth O. Stanley, Jeff Clune, Joel Lehman, and Risto Miikkulainen, Nature Machine Intelligence, Vol. 1 (2019), pp. 24–35.
Better Future through AI: Avoiding Pitfalls and Guiding AI Towards its Full Potential	2019
Risto Miikkulainen, Bret Greenstein, Babak Hodjat, Jerry Smith, arxiv:1905.13178 (2019).
BiLex: A computational approach to the effects of age of acquisition and language exposure on bilingual lexical access	2019
Claudia Peñaloza, Uli Grasemann, Maria Dekhtyar, Risto Miikkulainen, and Swathi Kiran, Brain and Language, Vol. 195, 104643 (2019).
Discretization of Game Space by Environment Attributes	2019
Alexander Braylan and Risto Miikkulainen, To Appear In The 2nd Knowledge Extraction from Games Workshop 2019. AAAI.
Enhancing Evolutionary Conversion Rate Optimization via Multi-armed Bandit Algorithms	2019
Xin Qiu and Risto Miikkulainen, In Proceedings of the 31st Conference on Innovative Applications of Artificial Intelligence 2019.
Evolutionary Neural AutoML for Deep Learning	2019
Jason Liang, Elliot Meyerson, Babak Hodjat, Dan Fink, Karl Mutch, and Risto Miikkulainen, In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2019), pp. 401–409 2019.
Evolutionary Optimization of Neural-Network Models of Human Behavior	2019
Uli Grasemann, Risto Miikkulainen, Claudia Peñaloza, Maria Dekhtyar, and Swathi Kiran, Proceedings of the International Conference on Cognitive Modeling (2019).
Evolving Deep Neural Networks	2019
Risto Miikkulainen, Jason Liang, Elliot Meyerson, Aditya Rawal, Dan Fink, Olivier Francon, Bala Raju, Hormoz Shahrzad, Arshak Navruzyan, Nigel Duffy, and Babak Hodjat, In Artificial Intelligence in the Age of Neural Networks and Brain Computing, Robert Kozma, Cesare Alippi, Yoonsuck Choe, and Francesco Carlo Morabito (Eds.), pp. 293-312 2019. Amsterdam: Elsev...
Factors that Affect the Evolution of Complex Cooperative Behavior	2019
Padmini Rajagopalan, Kay E. Holekamp and Risto Miikkulainen, In The 2019 Conference on Artificial Life (ALIFE 2019), pp. 333--340, July 2019.
Faster Training by Selecting Samples Using Embeddings	2019
Santiago Gonzalez, Joshua Landgraf, and Risto Miikkulainen, Proceedings of the 2019 International Joint Conference on Neural Networks (2019), pp. 1-7.
Flavor-cyber-agriculture: Optimization of plant metabolites in an open-source control environment through surrogate modeling	2019
Arielle J. Johnson, Elliot Meyerson, John de la Parra, Timothy L. Savas, Risto Miikkulainen, Caleb B. Harper, bioRxiv:424226, Vol. (2019).
Functional Generative Design of Mechanisms with Recurrent Neural Networks and Novelty Search	2019
Cameron R. Wolfe, Cem C. Tutum and Risto Miikkulainen, To Appear In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2019), pp. 7, Prague, Czech Republic, July 2019.
Implementing evolutionary optimization to model resting state functional connectivity	2019
Kaitlin Maile, Risto Miikkulainen, and Manish Saggar, In Society for Neuroscience Abstracts, 2019. Society for Neuroscience.
MDEA: Malware Detection with Evolutionary Adversarial Learning	2019
Xiruo Wang, Masters Thesis, Department of Computer Science, The University of Texas at Austin.
Modular Universal Reparameterization: Deep Multi-task Learning Across Diverse Domains	2019
Elliot Meyerson and Risto Miikkulainen, In 33rd Conference on Neural Information Processing Systems (NeurIPS 2019), 2019.
Quantifying the Conceptual Combination Effect on Word Meanings	2019
Nora Aguirre-Celis and Risto Miikkulainen, In Proceedings of the 41th Annual Meeting of the Cognitive Science Society, Montreal, CA, July 2019.
Tradeoffs in Neuroevolutionary Learning-Based Real-Time Robotic Task Design in the Imprecise Computation Framework	2019
Pei-Chi Huang, Luis Sentis, Joel Lehman, Chien-Liang Fok, Aloysius K. Mok, Risto Miikkulainen, ACM Transactions on Cyber-Physical Systems, Vol. 3 (2019). DOI 0.1145/3178903.
A Neuroevolutionary Approach to Adaptive Multi-agent Teams	2018
Bobby D. Bryant and Risto Miikkulainen, In Foundations of Trusted Autonomy, H. A. Abbass and J. Scholz and D. J. Reid (Eds.), pp. 87-114, New York 2018. Springer.
Beyond Shared Hierarchies: Deep Multitask Learning through Soft Layer Ordering	2018
Elliot Meyerson and Risto Miikkulainen, In Proceedings of the Sixth International Conference on Learning Representations (ICLR), Vancouver, Canada 2018.
Combining fMRI Data and Neural Networks to Quantify Contextual Effects in the Brain	2018
Nora Aguirre-Celis and Risto Miikkulainen, In Brain Informatics. BI 2018. Lectures Notes in Computer Sciences, Shouyi Wang, Vicky Yamamoto, Jianzhong Su, Yang Yang, Eric Jones, Leon Iasemidis, Tom Mitchell (Eds.), Vol. 11309, pp. 129-14...
Dynamic Adaptation and Opponent Exploitation in Computer Poker	2018
Xun Li and Risto Miikkulainen, AAAI-18 Workshop for Imperfect Information Games (2018).
Enhanced Optimization with Composite Objectives and Novelty Selection	2018
Hormoz Shahrzad, Daniel Fink and Risto Miikkulainen, In Proceedings of the 2018 Conference on Artificial Life, Tokyo, Japan 2018.
Evolutionary Architecture Search For Deep Multitask Networks	2018
Jason Liang, Elliot Meyerson, and Risto Miikkulainen, In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO), pp. 466–473, Kyoto, Japan, 2018.
Functional Generative Design: An Evolutionary Approach to 3D-Printing	2018
Cem C. Tutum, Supawit Chockchowwat, Etienne Vouga and Risto Miikkulainen, To Appear In Proceedings of Genetic and Evolutionary Computation Conference (GECCO 2018), pp. 8, Kyoto, Japan, July 2018.
Opponent Modeling and Exploitation in Poker Using Evolved Recurrent Neural Networks	2018
Xun Li and Risto Miikkulainen, In Proceedings of The Genetic and Evolutionary Computation Conference (GECCO 2018), Kyoto, Japan, July 2018. ACM.
PRETSL: Distributed Probabilistic Rule Evolution for Time-Series Classification	2018
Babak Hodjat, Hormoz Shahrzad, Risto Miikkulainen, Lawrence Murray, and Chris Holmes, In Genetic Programming Theory and Practice XIV, New York 2018. Springer.
Pseudo-task Augmentation: From Deep Multitask Learning to Intratask Sharing---and Back	2018
Elliot Meyerson, Risto Miikkulainen, In Proceedings of the 35th International Conference on Machine Learning, pp. 739-748 2018.
A Probabilistic Re-Formulation of No Free Lunch: Continuous Lunches Are Not Free	2017
Alan J. Lockett and Risto Miikkulainen, Evolutionary Computation, Vol. 25 (2017), pp. 503--528.
Conversion Rate Optimization through Evolutionary Computation	2017
Risto Miikkulainen, Neil Iscoe, Aaron Shagrin, Ron Cordell, Sam Nazari, Cory Schoolland, Myles Brundage, Jonathan Epstein, Randy Dean, Gurmeet Lamba, In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2017, Berlin, Germany) 2017.
Discovering Evolutionary Stepping Stones through Behavior Domination	2017
Elliot Meyerson and Risto Miikkulainen, To Appear In Proceedings of The Genetic and Evolutionary Computation Conference (GECCO 2017), Berlin, Germany, July 2017. ACM.
Evolutionary Decomposition for 3D Printing	2017
Eric A. Yu, Jin Yeom, Cem C. Tutum, Etienne Vouga, Risto Miikkulainen, To Appear In Proceedings of The Genetic and Evolutionary Computation Conference (GECCO 2017) (Best Paper Award), pp. 8 pages, Berlin, Germany, July 2017.
Evolving Adaptive Poker Players for Effective Opponent Exploitation	2017
Xun Li and Risto Miikkulainen, Technical Reports of the Thirty-first AAAI Conference of Artificial Intelligence (AAAI-17) (2017).
From Words to Sentences & Back: Characterizing Context-dependent Meaning Representations in the Brain	2017
Nora Aguirre-Celis, Manuel Valenzuela, and Risto Miikkulainen, In Proceedings of the 39th Annual Meeting of the Cognitive Science Society, London, UK, July 2017.
How to Select a Winner in Evolutionary Optimization?	2017
Risto Miikkulainen, Hormoz Shahrzad, Nigel Duffy, and Phil Long, In Proceedings of the IEEE Symposium Series in Computational Intelligence 2017. IEEE.
Constructing Game Agents Through Simulated Evolution	2016
Jacob Schrum and Risto Miikkulainen, In Encyclopedia of Computer Graphics and Games, Newton Lee (Eds.), pp. 1--10 2016. Springer.
Discovering Multimodal Behavior in Ms. Pac-Man through Evolution of Modular Neural Networks	2016
Jacob Schrum and Risto Miikkulainen, IEEE Transactions on Computational Intelligence and AI in Games, Vol. 8, 1 (2016), pp. 67--81.
Distributed Age-Layered Novelty Search	2016
Babak Hodjat, Hormoz Shahrzad, and Risto Miikkulainen, To Appear In Proceedings of the Fifteenth International Conference on the Synthesis and Simulation of Living Systems (Alife'16, Cancun, Mexico) 2016.
Estimating the Advantage of Age-Layering in Evolutionary Algorithms	2016
Hormoz Shahrzad, Babak Hodjat, and Risto Miikkulainen, To Appear In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2016, Denver, CO) 2016.
Evolving Artificial Language Through Evolutionary Reinforcement Learning	2016
Xun Li and Risto Miikkulainen, In Proceedings of the Fifteenth International Conference on the Synthesis and Simulation of Living Systems, Cambridge, MA, 2016. MIT Press.
Evolving Deep LSTM-based Memory networks using an Information Maximization Objective	2016
Aditya Rawal and Risto Miikkulainen, To Appear In Genetic and Evolutionary Computation Conference (GECCO 2016), Colorado, USA 2016.
Learning Behavior Characterizations for Novelty Search	2016
Elliot Meyerson, Joel Lehman and Risto Miikkulainen, To Appear In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2016), Denver, Colorado 2016. ACM.
Machines Are Becoming More Creative Than Humans	2016
Risto Miikkulainen, VentureBeat, Vol. 2016/04/03 (2016).
MARLEDA: Effective Distribution Estimation through Markov Random Fields	2016
Matthew Alden and Risto Miikkulainen, Theoretical Computer Science, Vol. 633 (2016), pp. 4-18.
Object-Model Transfer in the General Video Game Domain	2016
Alexander Braylan, Risto Miikkulainen, To Appear In Proceedings of the Twelfth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment 2016.
Reuse of Neural Modules for General Video Game Playing	2016
Alexander Braylan, Mark Hollenbeck, Elliot Meyerson and Risto Miikkulainen, To Appear In Proceedings of the 30th AAAI Conference on Artificial Intelligence (AAAI-16) 2016.
Solving Multiple Isolated, Interleaved, and Blended Tasks through Modular Neuroevolution	2016
Jacob Schrum and Risto Miikkulainen, Evolutionary Computation, Vol. 24, 3 (2016), pp. 459--490. MIT Press.
Surrogate-based Evolutionary Optimization for Friction Stir Welding	2016
Cem C Tutum, Shaayaan Sayed and Risto Miikkulainen, In Proceedings of IEEE World Congress on Computational Intelligence (WCCI 2016), pp. 8 pages, Vancouver, BC, Canada, July 2016.
Extinction Events Can Accelerate Evolution	2015
Joel Lehman and Risto Miikkulainen, PLoS ONE, Vol. 10(8) (2015), pp. e0132886 https://doi.org/10.13.
Enhancing Divergent Search through Extinction Events	2015
Joel Lehman and Risto Miikkulainen, To Appear In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2015), Madrid, Spain 2015.
Evaluating team behaviors constructed with human-guided machine learning	2015
Igor V. Karpov, Leif M. Johnson and Risto Miikkulainen, To Appear In Proceedings of the IEEE Conference on Computational Intelligence in Games, August 31-July 2 2015.
Evolutionary Bilevel Optimization for Complex Control Problems and Blackbox Function Optimization	2015
Jason Zhi Liang, Masters Thesis, Department of Computer Sciences, The University of Texas at Austin.
Evolutionary Bilevel Optimization for Complex Control Tasks	2015
Jason Zhi Liang, Risto Miikkulainen, In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2015), pp. 871–878, Madrid, Spain, July 2015.
Evolving Strategies for Social Innovation Games	2015
Erkin Bahceci, Riitta Katila and Risto Miikkulainen, In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2015), Madrid, Spain 2015.
Frame Skip Is a Powerful Parameter for Learning to Play Atari	2015
Alexander Braylan, Mark Hollenbeck, Elliot Meyerson and Risto Miikkulainen, In AAAI-15 Workshop on Learning for General Competency in Video Games 2015.
General Video Game Playing as a Benchmark for Human-Competitive AI	2015
Joel Lehman and Risto Miikkulainen, In AAAI-15 Workshop on Beyond the Turing Test 2015.
Mean-field thalamocortical modeling of longitudinal EEG acquired during intensive meditation training	2015
Manish Saggar, Anthony P. Zanesco, Brandon G. King, David A. Bridwell, Katherine A. MacLean, Stephen R. Aichele, Tonya L. Jacobs, B. Alan Wallace, Clifford D. Saron, Risto Miikkulainen, NeuroImage, Vol. 114 (2015), pp. 88-104. Elsevier.
Neuroevolution	2015
Risto Miikkulainen, In Encyclopedia of Machine Learning, 2nd Edition, Sammut, C. and Webb, G. I. (Eds.), Berlin, 2015. Springer.
On the Cross-Domain Reusability of Neural Modules for General Video Game Playing	2015
Alexander Braylan, Mark Hollenbeck, Elliot Meyerson and Risto Miikkulainen, In IJCAI'15 Workshop on General Intelligence in Game-Playing Agents, pp. 7--14 2015.
Solving Interleaved and Blended Sequential Decision-Making Problems through Modular Neuroevolution	2015
Jacob Schrum and Risto Miikkulainen, In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2015), pp. 345--352, Madrid, Spain, July 2015. Best Paper: Digital Entertainment and Arts.
Adapting Morphology to Multiple Tasks in Evolved Virtual Creatures	2014
Dan Lessin, Don Fussell, Risto Miikkulainen, To Appear In Proceedings of The Fourteenth International Conference on the Synthesis and Simulation of Living Systems (ALIFE 14) 2014 2014.
Competitive Multi-Agent Search	2014
Erkin Bahceci, PhD Thesis, Department of Computer Science, The University of Texas at Austin.
Evolution of Communication in Mate Selection	2014
Aditya Rawal, Janette Boughman and Risto Miikkulainen, To Appear In Proceedings of The Fourteenth International Conference on the Synthesis and Simulation of Living Systems (ALIFE 14) , New York, USA, July, 2014 2014.
Evolutionary Annealing: Global Optimization in Arbitrary Measure Spaces	2014
Alan J Lockett and Risto Miikkulainen, Journal of Global Optimization, Vol. 58 (2014), pp. 75-108.
Evolved Virtual Creatures as Content: Increasing Behavioral and Morphological Complexity	2014
Dan Lessin, PhD Thesis, Computer Science Department, The University of Texas at Austin. Tech Report TR-15-01.
Evolving Multimodal Behavior Through Subtask and Switch Neural Networks	2014
Xun Li and Risto Miikkulainen, In Proceedings of The Fourteenth International Conference on the Synthesis and Simulation of Living Systems (ALIFE 14) 2014.
Evolving Multimodal Behavior With Modular Neural Networks in Ms. Pac-Man	2014
Jacob Schrum and Risto Miikkulainen, In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2014), pp. 325--332, Vancouver, BC, Canada, July 2014. Best Paper: Digital Entertainment and Arts.
General Intelligence through Prolonged Evolution of Densely Connected Neural Networks	2014
Padmini Rajagopalan, Aditya Rawal, Kay E. Holekamp and Risto Miikkulainen, In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2014), Vancouver, BC, Canada, July 2014.
GRADE: Machine Learning Support for Graduate Admissions	2014
Austin Waters, Risto Miikkulainen, AI Magazine, Vol. 35 (2014), pp. 64-75.
Grasping Novel Objects with a Dexterous Robotic Hand through Neuroevolution	2014
Pei-Chi Huang, Joel Lehman, Aloysius K. Mok, Risto Miikkulainen, Luis Sentis, In IEEE Symposium Series on Computational Intelligence 2014. IEEE.
Overcoming Deception in Evolution of Cognitive Behaviors	2014
Joel Lehman and Risto Miikkulainen, To Appear In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2014), Vancouver, BC, Canada, July 2014.
The Evolution of General Intelligence	2014
Padmini Rajagopalan, Kay E. Holekamp and Risto Miikkulainen, In Proceedings of The Fourteenth International Conference on the Synthesis and Simulation of Living Systems (ALIFE 14), New York, NY 2014.
Trading Control Intelligence for Physical Intelligence: Muscle Drives in Evolved Virtual Creatures	2014
Dan Lessin, Don Fussell, Risto Miikkulainen, To Appear In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO) 2014 2014.
A Computational Account of Bilingual Aphasia Rehabilitation	2013
Swathi Kiran, Uli Grasemann, Chaleece Sandberg, and Risto Miikkulainen, Bilingualism: Language and Cognition, Vol. 16 (2013), pp. 325-342.
A Measure-Theoretic Analysis of Stochastic Optimization	2013
Alan J. Lockett and Risto Miikkulainen, In Proceedings of the 12th International Workshop on Foundations of Genetic Algorithms (FOGA-2013) 2013. ACM Press.
A Neuroevolution Approach to General Atari Game Playing	2013
Matthew Hausknecht, Joel Lehman, Risto Miikkulainen, and Peter Stone, IEEE Transactions on Computational Intelligence and AI in Games (2013).
Architecture of a Cyberphysical Avatar	2013
Song Han, Aloysius K. Mok, Jianyong Meng, Yi-Hung Wei, Pei-Chi Huang, Quan Leng, Xiuming Zhu, Luis Sentis, Kwan Suk Kim, and Risto Miikkulainen, In Proceedings of the ACM/IEEE Fourth International Conference on Cyber-Physical Systems (ICCPS-2013) 2013.
Boosting Interactive Evolution using Human Computation Markets	2013
Joel Lehman and Risto Miikkulainen, To Appear In Proceedings of the 2nd International Conference on the Theory and Practice of Natural Computation, pp. 18 pages 2013. Springer.
Effective Diversity Maintenance in Deceptive Domains	2013
Joel Lehman, Kenneth O. Stanley and Risto Miikkulainen, To Appear In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO) 2013 2013.
Evolutionary Feature Evaluation for Online Reinforcement Learning	2013
Julian Bishop and Risto Miikkulainen, In Proceedings of 2013 IEEE Conference on Computational Intelligence and Games (CIG2013), pp. 267-275 2013.
Extended Scaled Neural Predictor for Improved Branch Prediction	2013
Zihao Zhou, Mayank Kejriwal and Risto Miikkulainen, In Proceedings of the International Joint Conference on Neural Networks 2013. IEEE.
GRADE: Machine Learning Support for Graduate Admissions	2013
Austin Waters, Risto Miikkulainen, In Proceedings of the 25th Conference on Innovative Applications of Artificial Intelligence 2013.
IJCNN-2013 Tutorial on Evolution of Neural Networks	2013
Risto Miikkulainen, To Appear In unpublished. Tutorial slides..
Neuroannealing: Martingale-Driven Optimization for Neural Networks	2013
Alan J Lockett and Risto Miikkulainen, In Proceedings of the 2013 Genetic and Evolutionary Computation Conference (GECCO-2013) 2013. ACM Press.
Neuroevolution	2013
Joel Lehman and Risto Miikkulainen, Scholarpedia, Vol. 8, 6 (2013), pp. 30977.
Open-Ended Behavioral Complexity for Evolved Virtual Creatures	2013
Dan Lessin, Don Fussell, Risto Miikkulainen, In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO) 2013 2013.
Using Symmetry and Evolutionary Search to Minimize Sorting Networks	2013
Vinod K. Valsalam and Risto Miikkulainen, Journal of Machine Learning Research, Vol. 14, Feb (2013), pp. 303--331.
Accelerating Evolution via Egalitarian Social Learning	2012
Wesley Tansey, Eliana Feasley, and Risto Miikkulainen, In Proceedings of the 14th Annual Genetic and Evolutionary Computation Conference (GECCO 2012), Philadelphia, Pennsylvania, USA 2012.
Architecture of a Cyberphysical Avatar	2012
Song Han, Aloysius K. Mok, Jianyong Meng, Yi-Hung Wei, Pei-Chi Huang, Xiuming Zhu, Luis Sentis, Kan Suk Kim, Risto Miikkulainen, and Jacob Menashe, In Proceedings of the International Workshop on Real-Time and Distributed Computing in Emerging Applications (REACTION) 2012.
Believable Bot Navigation via Playback of Human Traces	2012
Igor V. Karpov, Jacob Schrum, Risto Miikkulainen, In Believable Bots, Philip F. Hingston (Eds.), pp. 151--170 2012. Springer Berlin Heidelberg.
Constructing Controllers for Physical Multilegged Robots using the ENSO Neuroevolution Approach	2012
Vinod K. Valsalam, Jonathan Hiller, Robert MacCurdy, Hod Lipson and Risto Miikkulainen, Evolutionary Intelligence, Vol. 5, 1 (2012), pp. 1--12.
Evaluation Methods for Active Human-Guided Neuroevolution in Games	2012
Igor Karpov, Leif Johnson, Vinod Valsalam and Risto Miikkulainen, In 2012 AAAI Fall Symposium on Robots Learning Interactively from Human Teachers (RLIHT), November 2012.
Evolution of a Communication Code in Cooperative Tasks	2012
Aditya Rawal, Padmini Rajagopalan, Risto Miikkulainen and Kay Holekamp, In Artificial Life (13th International Conference on the Synthesis and Simulation of Living Systems), East Lansing, Michigan, USA 2012.
Evolving Multimodal Networks for Multitask Games	2012
Jacob Schrum and Risto Miikkulainen, IEEE Transactions on Computational Intelligence and AI in Games, Vol. 4, 2 (2012), pp. 94--111. IEEE.
Humanlike Combat Behavior via Multiobjective Neuroevolution	2012
Jacob Schrum, Igor V. Karpov and Risto Miikkulainen, In Believable Bots, Philip F. Hingston (Eds.), pp. 119--150 2012. Springer Berlin Heidelberg.
HyperNEAT-GGP: A HyperNEAT-based Atari General Game Player	2012
Matthew Hausknecht, Piyush Khandelwal, Risto Miikkulainen, Peter Stone, In Genetic and Evolutionary Computation Conference (GECCO) 2012 2012.
Intensive training induces longitudinal changes in meditation state-related EEG oscillatory activity	2012
Manish Saggar, Brandon G King, Anthony P Zanesco, Katherine A MacLean, Stephen R Aichele, Tonya L Jacobs, David A Bridwell, Phillip R Shaver, Erika L Rosenberg, Baljinder K Sahdra, Emilio Ferrer, Akaysha C Tang, George R Mangun, B Alan Wallace, Risto Miikkulainen, and Clifford D Saron, Frontiers in Human NeuroscienceAmishi P Jha (Eds.), Vol. 6, 00256 (2012).
Multiagent Learning through Neuroevolution	2012
Risto Miikkulainen, Eliana Feasley, Leif Johnson, Igor Karpov, Padmini Rajagopalan, Aditya Rawal, and Wesley Tansey, In Advances in Computational Intelligence, J. Liu et al. (Eds.), Vol. LNCS 7311, pp. 24-46, Berlin, Heidelberg: 2012. Springer.
Task decomposition with neuroevolution in extended predator-prey domain	2012
Ashish Jain, Anand Subramoney, Risto Miikkulainen, In Proceedings of Thirteenth International Conference on the Synthesis and Simulation of Living Systems, East Lansing, MI, USA 2012.
An Integrated Neuroevolutionary Approach to Reactive Control and High-level Strategy	2011
Nate Kohl, Risto Miikkulainen, IEEE Transactions on Evolutionary Computation (2011).
Assisting Machine Learning Through Shaping, Advice and Examples	2011
Igor Karpov, Vinod Valsalam and Risto Miikkulainen, In 2011 IJCAI Workshop on Agents Learning Interactively from Human Teachers (ALIHT), July 2011.
Creating Intelligent Agents through Shaping of Coevolution	2011
Adam Dziuk and Risto Miikkulainen, In Proceedings of the Congress on Evolutionary Computation, New Orleans, LA 2011. IEEE.
Evolving Multimodal Networks for Multitask Games	2011
Jacob Schrum and Risto Miikkulainen, In Proceedings of the IEEE Conference on Computational Intelligence and Games (CIG 2011), pp. 102--109, Seoul, South Korea, September 2011. IEEE. (Best Paper Award).
Evolving Symmetry for Modular System Design	2011
Vinod K. Valsalam and Risto Miikkulainen, IEEE Transactions on Evolutionary Computation, Vol. 15, 3 (2011), pp. 368--386.
Human-Assisted Neuroevolution Through Shaping, Advice and Examples	2011
Igor V. Karpov, Vinod K. Valsalam and Risto Miikkulainen, In Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference (GECCO 2011), Dublin, Ireland, July 2011.
Impairment and Rehabilitation in Bilingual Aphasia: A SOM-Based Model	2011
Uli Grasemann, Swathi Kiran, Chaleece Sandberg and Risto Miikkulainen, In Proceedings of WSOM11, 8th Workshop on Self-Organizing Maps, LNCS 6731, J Laaksonen and T. Honkela (Eds.), pp. 207--217, Espoo, Finland 2011. Springer Verlag.
Learning Geometry from Sensorimotor Experience	2011
Jeremy Stober, Risto Miikkulainen, and Benjamin Kuipers, In Proceedings of the First International Conference on Development and Learning and Epigenetic Robotics, Frankfurt am Main, Germany, August 2011.
Learning Polarity from Structure in SAT	2011
Bryan Silverthorn and Risto Miikkulainen, In Theory and Applications of Satisfiability Testing (SAT) 2011. (extended abstract).
Measure-Theoretic Evolutionary Annealing	2011
Alan J. Lockett and Risto Miikkulainen, In Proceedings of the 2011 IEEE Congress on Evolutionary Computation 2011.
Modeling Acute and Compensated Language Disturbance in Schizophrenia	2011
Uli Grasemann, Ralph Hoffman and Risto Miikkulainen, In Proceedings of the 33rd Annual Meeting of the Cognitive Science Society 2011.
Real-Space Evolutionary Annealing	2011
Alan J Lockett and Risto Miikkulainen, In Proceedings of the 2011 Genetic and Evolutionary Computation Conference (GECCO-2011) 2011.
The Role of Reward Structure, Coordination Mechanism and Net Return in the Evolution of Cooperation	2011
Padmini Rajagopalan, Aditya Rawal, Risto Miikkulainen, Marc A. Wiseman and Kay E. Holekamp, In Proceedings of the IEEE Conference on Computational Intelligence and Games (CIG 2011), Seoul, South Korea 2011.
Using Computational Patients to Evaluate Illness Mechanisms in Schizophrenia	2011
Ralph E. Hoffman, Uli Grasemann, Ralitza Gueorguieva, Donald Quinlan, Douglas Lane, and Risto Miikkulainen, Biological Psychiatry, Vol. 69 (2011), pp. 997--1005.
Utilizing Symmetry and Evolutionary Search to Minimize Sorting Networks	2011
Vinod K. Valsalam and Risto Miikkulainen, Technical Report AITR-11-09, Department of Computer Sciences, The University of Texas at Austin.
UT^2: Human-like Behavior via Neuroevolution of Combat Behavior and Replay of Human Traces	2011
Jacob Schrum, Igor V. Karpov and Risto Miikkulainen, In Proceedings of the IEEE Conference on Computational Intelligence and Games (CIG 2011), pp. 329--336, Seoul, South Korea, September 2011. IEEE.
Behavioral, neuroimaging, and computational evidence for perceptual caching in repetition priming	2010
Manish Saggar, Risto Miikkulainen, David Schnyer, Journal of Brain Research, Vol. 1315 (2010), pp. 75--91.
Coevolution of Role-Based Cooperation in Multi-Agent Systems	2010
Chern Han Yong and Risto Miikkulainen, IEEE Transactions on Autonomous Mental Development, Vol. 1 (2010), pp. 170--186.
Constructing Competitive and Cooperative Agent Behavior Using Coevolution	2010
Aditya Rawal, Padmini Rajagopalan and Risto Miikkulainen, In IEEE Conference on Computational Intelligence and Games (CIG 2010), Copenhagen, Denmark, August 2010.
Evolving Agent Behavior In Multiobjective Domains Using Fitness-Based Shaping	2010
Jacob Schrum and Risto Miikkulainen, In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2010), pp. 439--446, Portland, Oregon, July 2010.
Latent Class Models for Algorithm Portfolio Methods	2010
Bryan Silverthorn and Risto Miikkulainen, In Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence 2010.
Neuroevolution	2010
Risto Miikkulainen, In Encyclopedia of Machine Learning, New York 2010. Springer.
Complex Dynamics of V1 Population Responses Explained by a Simple Gain-Control Model	2009
Yiu Fai Sit, Yuzhi Chen, Wilson S. Geisler, Risto Miikkulainen, and Eyal Seidemann, Neuron, Vol. 64 (2009), pp. 943-956.
Computational Predictions on the Receptive Fields and Organization of V2 for Shape Processing	2009
Yiu Fai Sit and Risto Miikkulainen, Neural Computation, Vol. 21, 3 (2009), pp. 762--785.
Evolving Multi-modal Behavior in NPCs	2009
Jacob Schrum and Risto Miikkulainen, In IEEE Symposium on Computational Intelligence and Games (CIG 2009), pp. 325--332, Milan, Italy, September 2009. (Best Student Paper Award).
Evolving Neural Networks for Strategic Decision-Making Problems	2009
Nate Kohl and Risto Miikkulainen, Neural Networks, Special issue on Goal-Directed Neural Systems (2009).
Evolving Symmetric and Modular Neural Network Controllers for Multilegged Robots	2009
Vinod K. Valsalam and Risto Miikkulainen, In xploring New Horizons in Evolutionary Design of Robots: Workshop at the 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2009.
Evolving Symmetric and Modular Neural Networks for Distributed Control	2009
Vinod K. Valsalam and Risto Miikkulainen, In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO), pp. 731--738 2009.
Hyperlearning: A Connectionist Model of Psychosis in Schizophrenia	2009
Uli Grasemann, Risto Miikkulainen and Ralph Hoffman, In Proceedings of the 31st Annual Meeting of the Cognitive Science Society, N. A. Taatgen and H. van Rijn (Eds.), Amsterdam, The Netherlands 2009.
Learning Dynamic Obstacle Avoidance for a Robot Arm Using Neuroevolution	2009
Thomas D'Silva, Risto Miikkulainen, Neural Processing Letters (2009).
Modeling the Bilingual Lexicon of an Individual Subject	2009
Risto Miikkulainen and Swathi Kiran, In Proceedings of the Workshop on Self-Organizing Maps (WSOM'09), Berlin 2009. Springer.
Temporal Convolution Machines for Sequence Learning	2009
Alan J Lockett and Risto Miikkulainen, Technical Report AI-09-04, Department of Computer Sciences, the University of Texas at Austin.
Accelerated Neural Evolution through Cooperatively Coevolved Synapses	2008
Faustino Gomez, Juergen Schmidhuber, and Risto Miikkulainen, Journal of Machine Learning Research (2008), pp. 937-965.
Constructing Complex NPC Behavior via Multi-Objective Neuroevolution	2008
Jacob Schrum and Risto Miikkulainen, In Proceedings of the Fourth Artificial Intelligence and Interactive Digital Entertainment Conference (AIIDE 2008), pp. 108-113, Stanford, California 2008.
Evolving Neural Networks for Fractured Domains	2008
Nate Kohl and Risto Miikkulainen, In Proceedings of the Genetic and Evolutionary Computation Conference, pp. 1405-1412, July 2008.
Evolving Opponent Models for Texas Hold 'Em	2008
Alan J Lockett and Risto Miikkulainen, In IEEE Conference on Computational Intelligence in Games, Perth, Australia 2008.
Incremental Nonmonotonic Sentence Interpretation through Semantic Self-Organization	2008
Marshall R. Mayberry III and Risto Miikkulainen, Technical Report AI08-12, Department of Computer Sciences, University of Texas at Austin.
Memory Processes in Perceptual Decision Making	2008
Manish Saggar, Risto Miikkulainen, David M Schnyer, In Proceedings of the 30th Annual Conference of the Cognitive Science Society, Nashville, TN 2008.
Modular Neuroevolution for Multilegged Locomotion	2008
Vinod K. Valsalam and Risto Miikkulainen, In Proceedings of the Genetic and Evolutionary Computation Conference GECCO 2008, pp. 265-272, New York, NY, USA 2008. ACM.
Online Kernel Selection for Bayesian Reinforcement Learning	2008
Joseph Reisinger, Peter Stone, and Risto Miikkulainen, In Proceedings of the Twenty-Fifth International Conference on Machine Learning, July 2008.
Transfer of Evolved Pattern-Based Heuristics in Games	2008
Erkin Bahceci and Risto Miikkulainen, In IEEE Symposium On Computational Intelligence and Games (CIG 2008), pp. 220-227, Perth, Australia, December 2008.
A computational model of the motivation-learning interface	2007
Manish Saggar, Arthur B Markman, W Todd Maddox, Risto Miikkulainen, In Proceedings of the 29th Annual Conference of the Cognitive Science Society, Nashville, TN 2007.
A Computational Model of the Signals in Optical Imaging with Voltage-Sensitive Dyes	2007
Yiu Fai Sit and Risto Miikkulainen, Neurocomputing (2007), pp. 1853-1857.
A Subsymbolic Model of Language Pathology in Schizophrenia	2007
Uli Grasemann, Risto Miikkulainen, Ralph Hoffman, In Proceedings of the 29th Annual Conference of the Cognitive Science Society, pp. 311-316, Hillsdale, NJ 2007. Erlbaum.
Acquiring Evolvability through Adaptive Representations	2007
Joseph Reisinger and Risto Miikkulainen, In Proceeedings of the Genetic and Evolutionary Computation Conference, pp. 1045-1052 2007.
Acquiring Visibly Intelligent Behavior with Example-Guided Neuroevolution	2007
Bobby D. Bryant and Risto Miikkulainen, In Proceedings of the Twenty-Second National Conference on Artificial Intelligence, Menlo Park, CA 2007. AAAI Press.
Coevolution of Role-Based Cooperation in Multi-Agent Systems	2007
Chern Han Yong and Risto Miikkulainen, Technical Report AI07-338, Department of Computer Sciences, The University of Texas at Austin.
Coevolving Strategies for General Game Playing	2007
Joseph Reisinger, Erkin Bahceci, Igor Karpov and Risto Miikkulainen, In Proceedings of the {IEEE} Symposium on Computational Intelligence and Games, pp. 320-327, Piscataway, NJ 2007. IEEE.
Detecting Motion in the Environment with a Moving Quadruped Robot	2007
Peggy Fidelman, Thayne Coffman and Risto Miikkulainen, In RoboCup-2006: Robot Soccer World Cup X, Gerhard Lakemeyer and Elizabeth Sklar and Domenico Sorenti and Tomoichi Takahashi (Eds.), pp. 219-231, Berlin 2007. Springer Verlag.
Developing Complex Systems Using Evolved Pattern Generators	2007
Vinod K. Valsalam, James A. Bednar and Risto Miikkulainen, IEEE Transactions on Evolutionary Computation (2007), pp. 181-198.
Effects of Acquisition Rate on Emergent Structure in Phonological Development	2007
Melissa A. Redford and Risto Miikkulainen, Language (2007), pp. 737-769.
Evolving Explicit Opponent Models for Game Play	2007
Alan Lockett, Charles Chen, and Risto Miikkulainen, In Genetic and Evolutionary Computation Conference (GECCO-2007) 2007.
Self-Organizing Distinctive State Abstraction Using Options	2007
Jefferson Provost, Benjamin J. Kuipers, and Risto Miikkulainen, In Proceedings of the 7th International Conference on Epigenetic Robotics 2007.
Semantic Boost on Episodic Associations: An Empirically Based Computational Model	2007
Yaron Silberman, Shlomo Bentin, and Risto Miikkulainen, Cognitive Science, Vol. 31 (2007), pp. 645--671.
System Identification for the Hodgkin-Huxley Model using Artificial Neural Networks	2007
Manish Saggar, Tekin Mericli, Sari Andoni, Risto Miikkulainen, In Proceedings of International Joint Conference on Neural Networks, Orlando, Florida, August 2007.
Coevolution of Neural Networks using a Layered Pareto Archive	2006
German A. Monroy, Kenneth O. Stanley, Risto Miikkulainen, In Proceedings of the Genetic and Evolutionary Computation Conference, pp. 329-336, Seattle, Washington, July 2006. New York, NY: ACM Press.
Computational Intelligence in Games	2006
Risto Miikkulainen, Bobby D. Bryant, Ryan Cornelius, Igor V. Karpov, Kenneth O. Stanley, and Chern Han Yong, In Computational Intelligence: Principles and Practice, Gary Y. Yen and David B. Fogel (Eds.), Piscataway, NJ 2006. IEEE Computational Intelligence Society.
Creating Intelligent Agents in Games	2006
Risto Miikkulainen, The Bridge (2006), pp. 5-13.
Developing navigation behavior through self-organizing distinctive state abstraction	2006
Jefferson Provost, Benjamin J. Kuipers, and Risto Miikkulainen, Connection Science, Vol. 18 (2006), pp. 159-172.
Efficient Non-Linear Control through Neuroevolution	2006
Faustino Gomez, Juergen Schmidhuber, and Risto Miikkulainen, In Proceedings of the European Conference on Machine Learning, pp. 654-662, Berlin 2006. Springer.
Establishing an Appropriate Learning Bias Through Development	2006
Vinod K. Valsalam, James A. Bednar, and Risto Miikkulainen, In Proceedings of the Fifth International Conference on Development and Learning (ICDL-2006) 2006.
Evolving a Real-World Vehicle Warning System	2006
Nate Kohl, Kenneth Stanley, Risto Miikkulainen, Michael Samples, and Rini Sherony, In Proceedings of the Genetic and Evolutionary Computation Conference 2006.
Evolving Stochastic Controller Networks for Intelligent Game Agents	2006
Bobby D. Bryant and Risto Miikkulainen, In Proceedings of the 2006 Congress on Evolutionary Computation, Piscataway, NJ 2006. IEEE.
Exploiting Sensor Symmetries in Example-based Training for Intelligent Agents	2006
Bobby D. Bryant and Risto Miikkulainen, In Proceedings of the {IEEE} Symposium on Computational Intelligence and Games, Sushil M. Louis and Graham Kendall (Eds.), pp. 90-97, Piscataway, NJ 2006. IEEE.
Grounding Language in Descriptions of Scenes	2006
Paul Williams and Risto Miikkulainen, In Proceedings of the 28th Annual Meeting of the Cognitive Science Society 2006.
Incorporating Advice into Neuroevolution of Adaptive Agents	2006
Chern Han Yong, Kenneth O. Stanley, Risto Miikkulainen, and Igor V. Karpov, In Proceedings of the Second Artificial Intelligence and Interactive Digital Entertainment Conference, pp. 98-104, Menlo Park, CA 2006. AAAI Press.
Integration and Evaluation of Exploration-Based Learning in Games	2006
Igor V. Karpov, Thomas D'Silva, Craig Varrichio, Kenneth O. Stanley, Risto Miikkulainen, In Proceedings of the {IEEE} Symposium on Computational Intelligence and Games, Reno, NV 2006. IEEE.
Joint Maps for Orientation, Eye, and Direction Preference in a Self-Organizing Model of V1	2006
James A. Bednar and Risto Miikkulainen, Neurocomputing, Vol. 69 (2006), pp. 1272--1276.
Prenatal Development of Ocular Dominance and Orientation Maps in a Self-Organizing Model of V1	2006
Stefanie Jegelka, James A. Bednar, and Risto Miikkulainen, Neurocomputing, Vol. 69 (2006), pp. 1291--1296.
Real-Time Evolution of Neural Networks in the NERO Video Game	2006
Kenneth O. Stanley, Bobby D. Bryant, Igor Karpov, Risto Miikkulainen, In Proceedings of the Twenty-First National Conference on Artificial Intelligence (AAAI-2006), pp. 1671--1674, Boston, MA 2006. Meno Park, CA: AAAI Press.
Selecting for Evolvable Representations	2006
Joseph Reisinger and Risto Miikkulainen, In Proceedings of the Genetic and Evolutionary Computation Conference 2006.
Self-Organization of Hierarchical Visual Maps with Feedback Connections	2006
Yiu Fai Sit and Risto Miikkulainen, Neurocomputing, Vol. 69 (2006), pp. 1309-1312.
The Effect of Delivery Method on Conceptual and Strategy Development	2006
Lisa C. Kaczmarczyk, Mary Z. Last, Risto Miikkulainen, In Proceedings of the 28th Annual Conference of the Cognitive Science Society 2006.
A Subsymbolic Model of Complex Story Understanding	2005
Peggy Fidelman, Risto Miikkulainen and Ralph Hoffman, In Proceedings of the 27th Annual Meeting of the Cognitive Science Society 2005.
Associating Unseen Events: Semantically Mediated Formation of Episodic Associations	2005
Yaron Silberman, Risto Miikkulainen, and Shlomo Bentin, Psychological Science, Vol. 16 (2005), pp. 161-166.
Automatic Feature Selection via Neuroevolution	2005
Shimon Whiteson, Peter Stone, Kenneth O. Stanley, Risto Miikkulainen, and Nate Kohl, In Proceedings of the Genetic and Evolutionary Computation Conference, June 2005.
Broad-Coverage Parsing with Neural Networks	2005
Marshall R. Mayberry III and Risto Miikkulainen, Neural Processing Letters, Vol. 21 (2005), pp. 121--143.
Constructing Good Learners Using Evolved Pattern Generators	2005
Vinod K. Valsalam, James A. Bednar, and Risto Miikkulainen, In Proceedings of the Genetic and Evolutionary Computation Conference, GECCO-2005, H.-G. Beyer and others (Eds.), pp. 11-18 2005.
Constructing Visual Function Through Prenatal and Postnatal Learning	2005
James A. Bednar and Risto Miikkulainen, In Neuroconstructivism, Vol. 2: Perspectives and Prospects, Denis Mareschal and Mark H. Johnson and Sylvain Sirois and Michael Spratling and Michael S. C. Thomas and Gert Westermann (Eds.), pp....
Effective Image Compression Using Evolved Wavelets	2005
Uli Grasemann and Risto Miikkulainen, In Proceedings of the Genetic and Evolutionary Computation Conference 2005.
Evolving Keepaway Soccer Players through Task Decomposition	2005
Shimon Whiteson, Nate Kohl, Risto Miikkulainen, and Peter Stone, Machine Learning, Vol. 59, 1 (2005), pp. 5-30.
Evolving Neural Network Agents in the NERO Video Game	2005
Kenneth O. Stanley, Bobby D. Bryant, and Risto Miikkulainen, In Proceedings of the IEEE 2005 Symposium on Computational Intelligence and Games (CIG'05), Piscataway, NJ 2005. IEEE.
Evolving Neural Network Ensembles for Control Problems	2005
David Pardoe, Michael Ryoo, and Risto Miikkulainen, In Proceedings of the Genetic and Evolutionary Computation Conference 2005.
Incorporating Advice into Evolution of Neural Networks	2005
Chern Han Yong, Kenneth O. Stanley, and Risto Miikkulainen, In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2005) 2005. Late Breaking Papers.
Learning Basic Navigation for Personal Satellite Assistant Using Neuroevolution	2005
Yiu Fai Sit and Risto Miikkulainen, In Proceedings of the Genetic and Evolutionary Computation Conference 2005.
Neuroevolution of an Automobile Crash Warning System	2005
Kenneth Stanley, Nate Kohl, Rini Sherony, and Risto Miikkulainen, In Proceedings of the Genetic and Evolutionary Computation Conference 2005.
Real-Time Learning in the NERO Video Game	2005
Kenneth O. Stanley, Ryan Cornelius, Risto Miikkulainen, Thomas D'Silva, and Aliza Gold, In Proceedings of the Artificial Intelligence and Interactive Digital Entertainment Conference (AIIDE 2005) Demo Papers 2005.
Real-time Neuroevolution in the NERO Video Game	2005
Kenneth O. Stanley, Bobby D. Bryant, and Risto Miikkulainen, IEEE Transactions on Evolutionary Computation (2005), pp. 653-668. IEEE.
Retaining Learned Behavior During Real-Time Neuroevolution	2005
Thomas D'Silva, Roy Janik, Michael Chrien, Kenneth O. Stanley and Risto Miikkulainen, Artificial Intelligence and Interactive Digital Entertainment (2005). American Association for Artificial Intelligence.
Self-organization of color opponent receptive fields and laterally connected orientation maps	2005
James A. Bednar, Judah B. De Paula, and Risto Miikkulainen, Neurocomputing, Vol. 65--66 (2005), pp. 69-76.
Towards an Empirical Measure of Evolvability	2005
Joseph Reisinger, Kenneth O. Stanley, Risto Miikkulainen, In Genetic and Evolutionary Computation Conference {(GECCO2005)} Workshop Program, pp. 257-264, Washington, D.C. 2005. ACM Press.
Self-Organizing Perceptual and Temporal Abstraction for Robot Reinforcement Learning	2004
Jefferson Provost, Benjamin J. Kuipers and Risto Miikkulainen, In AAAI-04 Workshop on Learning and Planning in Markov Processes 2004.
Competitive Coevolution through Evolutionary Complexification	2004
Kenneth O. Stanley and Risto Miikkulainen, Journal of Artificial Intelligence Research, Vol. 21 (2004), pp. 63-100.
Contour Integration and Segmentation with Self-Organized Lateral Connections	2004
Yoonsuck Choe and Risto Miikkulainen, Biological Cybernetics 90:75-88
Efficient Allele Fitness Assignment with Self-organizing Multi-agent System	2004
Adrian Agogino and Risto Miikkulainen, In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2004) Workshop Program, New York, NY 2004. Springer-Verlag.
Evolving a Roving Eye for Go	2004
Kenneth O. Stanley and Risto Miikkulainen, In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2004), Berlin 2004. Springer Verlag.
Evolving Reusable Neural Modules	2004
Joseph Reisinger, Kenneth O. Stanley, and Risto Miikkulainen, In Proceedings of the Genetic and Evolutionary Computation Conference 2004.
Evolving Wavelets using a Coevolutionary Genetic Algorithm and Lifting	2004
Uli Grasemann and Risto Miikkulainen, In Proceedings of the Genetic and Evolutionary Computation Conference, pp. 969-980, San Francisco 2004. Kaufmann.
Exploiting Morphological Conventions for Genetic Reuse	2004
Kenneth O. Stanley, Joseph Reisinger, and Risto Miikkulainen, In Proceedings of the Genetic and Evolutionary Computation Conference ({GECCO}-2004) Workshop Program, Berlin 2004. Springer Verlag.
Modeling Cortical Maps with Topographica	2004
James A. Bednar, Yoonsuck Choe, Judah De Paula, Risto Miikkulainen, Jefferson Provost, and Tal Tversky, Neurocomputing (2004), pp. 1129-1135.
Prenatal and Postnatal Development of Laterally Connected Orientation Maps	2004
James A. Bednar and Risto Miikkulainen, Neurocomputing, Vol. 58-60 (2004), pp. 985-992.
The Acquisition of Intellectual Expertise: A Computational Model	2004
Elizabeth C. Kaczmarczyk, Risto Miikkulainen, In Proceedings of the 26th Annual Conference of the Cognitive Science Society 2004.
Transfer of Neuroevolved Controllers in Unstable Domains	2004
Faustino J. Gomez and Risto Miikkulainen, In Proceedings of the Genetic and Evolutionary Computation Conference, Berlin 2004. Springer.
A Taxonomy for Artificial Embryogeny	2003
Kenneth O. Stanley and Risto Miikkulainen, Artificial Life, Vol. 9, 2 (2003), pp. 93-130.
Achieving High-Level Functionality through Evolutionary Complexification	2003
Kenneth O. Stanley and Risto Miikkulainen, In Proceedings of the AAAI-2003 Spring Symposium on Computational Synthesis, Stanford, CA 2003. AAAI Press.
Active Guidance for a Finless Rocket Using Neuroevolution	2003
Faustino J. Gomez and Risto Miikkulainen, In Proceedings of the Genetic and Evolutionary Computation Conference, pp. 2084-2095, San Francisco 2003. Morgan Kaufmann.
Constructivist Learning: A Neural Implementation of the Schema Mechanism	2003
Harold H. Chaput, Benjamin Kuipers and Risto Miikkulainen, In Proceedings of WSOM '03: Workshop for Self-Organizing Maps, Kitakyushu, Japan 2003.
Evolving Adaptive Neural Networks with and Without Adaptive Synapses	2003
Kenneth O. Stanley, Bobby D. Bryant, and Risto Miikkulainen, In Proceedings of the 2003 Congress on Evolutionary Computation, Piscataway, NJ 2003. IEEE.
Incremental Nonmonotonic Parsing through Semantic Self-Organization	2003
Marshall R. Mayberry III, PhD Thesis, Department of Computer Sciences, the University of Texas at Austin. Technical Report AI-TR-04-310.
Incremental Nonmonotonic Parsing through SemanticSelf-Organization	2003
Marshall R. Mayberry III and Risto Miikkulainen, In Proceedings of the 25th Annual Conference of the Cognitive Science Society 2003.
Learning Innate Face Preferences	2003
James A. Bednar and Risto Miikkulainen, Neural Computation, Vol. 15, 7 (2003), pp. 1525-1557.
Neuroevolution for Adaptive Teams	2003
Bobby D. Bryant and Risto Miikkulainen, In Proceedings of the 2003 Congress on Evolutionary Computation (CEC 2003), pp. 2194-2201, Piscataway, NJ 2003. IEEE.
Robust Non-Linear Control through Neuroevolution	2003
Faustino J. Gomez, PhD Thesis, Department of Computer Sciences, The University of Texas at Austin.
Self-Organization of Spatiotemporal Receptive Fields and Laterally Connected Direction and Orientation Maps	2003
James A. Bednar and Risto Miikkulainen, Neurocomputing, Vol. 52--54 (2003), pp. 473-480.
The Role of Postsynaptic Potential Decay Rate in Neural Synchrony	2003
Yoonsuck Choe and Risto Miikkulainen, Neurocomputing, Vol. 52-54 (2003), pp. 707-712.
Utilizing Domain Knowledge in Neuroevolution	2003
James Fan, Raymond Lau, and Risto Miikkulainen, Proceedings of the Twentieth International Conference on Machine Learning (ICML-03, Washington, DC)
Adaptive Control Utilising Neural Swarming	2002
Alex v. E. Conradie, Risto Miikkulainen, and Christiaan Aldrich, In Proceedings of the Genetic and Evolutionary Computation Conference, William B. Langdon and Erick Cantu-Paz and Keith E. Mathias and Rajkumar Roy and David Davis and Riccardo Poli and Karth...
Continual Coevolution Through Complexification	2002
Kenneth O. Stanley and Risto Miikkulainen, In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2002), William B. Langdon and Erick Cantu-Paz and Keith E. Mathias and Rajkumar Roy and David Davis and Riccardo Pol...
Efficient Evolution Of Neural Network Topologies	2002
Kenneth O. Stanley and Risto Miikkulainen, In Proceedings of the Genetic and Evolutionary Computation Conference, William B. Langdon and Erick Cantu-Paz and Keith E. Mathias and Rajkumar Roy and David Davis and Riccardo Poli and Karthik...
Efficient Reinforcement Learning Through Evolving Neural Network Topologies	2002
Kenneth O. Stanley and Risto Miikkulainen, In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2002), pp. 9, San Francisco 2002. Morgan Kaufmann.
Eugenic Evolution Utilizing A Domain Model	2002
Matthew Alden, Aard-Jan van Kesteren, and Risto Miikkulainen, In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2002), pp. 279-286 2002.
Evolving Neural Networks Through Augmenting Topologies	2002
Kenneth O. Stanley and Risto Miikkulainen, Evolutionary Computation, Vol. 10, 2 (2002), pp. 99-127.
Intelligent Process Control Utilizing Symbiotic Memetic Neuro-Evolution	2002
Alex v. E. Conradie, Risto Miikkulainen, and Christiaan Aldrich, In Proceedings of the 2002 Congress on Evolutionary Computation, pp. 6 2002.
Modeling Directional Selectivity Using Self-Organizing Delay-Adaptation Maps	2002
Tal Tversky and Risto Miikkulainen, Neurocomputing, Vol. 44--46 (2002), pp. 679--684. Also in J. M. Bower (editor), Computational Neuroscience: Trends in Research, 2002 (CNS*01, Pacific Grove, CA). New York: Elsevier.
Modeling Large Cortical Networks With Growing Self-Organizing Maps	2002
James A. Bednar, Amol Kelkar, and Risto Miikkulainen, Neurocomputing, Vol. 44--46 (2002), pp. 315-321.
Neonatal Learning Of Faces: Environmental And Genetic Influences	2002
James A. Bednar and Risto Miikkulainen, In Proceedings of the 24th Annual Conference of the Cognitive Science Society, pp. 107-112 2002.
Numerical Optimization With Neuroevolution	2002
Brian Greer, Henri Hakonen, Risto Lahdelma, and Risto Miikkulainen, In Proceedings of the 2002 Congress on Evolutionary Computation, pp. 361-401, Piscataway, NJ 2002. IEEE. Undergraduate Thesis, Department of Computer Sciences, The University of Texas at Aust...
Text and Discourse Understanding: The DISCERN System	2002
Risto Miikkulainen, In A Handbook of Natural Language Processing: Techniques and Applications for the Processing of Language as Text, R. Dale, H. Moisl and H. Somers (Eds.), pp. 905--919, New York 2002.
The Dominance Tournament Method of Monitoring Progress in Coevolution	2002
Kenneth O. Stanley and Risto Miikkulainen, In Proceedings of the Genetic and Evolutionary Computation Conference ({GECCO}-2002) Workshop Program, pp. 7, San Francisco 2002. Morgan Kaufmann.
A Neuroevolution Method For Dynamic Resource Allocation On A Chip Multiprocessor	2001
Faustino J. Gomez, Doug Burger, and Risto Miikkulainen, In Proceedings of the {INNS-IEEE} International Joint Conference on Neural Networks, pp. 2355-2361, Piscataway, NJ 2001. IEEE.
Abrupt And Gradual Sound Change In An Expanding Lexicon	2001
Melissa A. Redford and Risto Miikkulainen, Technical Report AI01-289, Department of Computer Sciences, The University of Texas at Austin.
Co-Evolving A Go-Playing Neural Network	2001
Alex Lubberts and Risto Miikkulainen, In Coevolution: {T}urning Adaptive Algorithms Upon Themselves, Birds-of-a-Feather Workshop, Genetic and Evolutionary Computation Conference ({GECCO}-2001), pp. 6 2001.
Constrained Emergence Of Universals And Variation In Syllable Systems	2001
Melissa A. Redford, Chun Chi Chen, and Risto Miikkulainen, Language and Speech (2001), pp. 27-56. Manuscript.
Cooperative Coevolution Of Multi-Agent Systems	2001
Chern Han Yong and Risto Miikkulainen, Technical Report AI07-338, Department of Computer Sciences, The University of Texas at Austin.
Creating Melodies With Evolving Recurrent Neural Networks	2001
Chun-Chi J. Chen and Risto Miikkulainen, In Proceedings of the {INNS-IEEE} International Joint Conference on Neural Networks, pp. 2241-2246, Piscataway, NJ 2001. IEEE.
Evolving Populations Of Expert Neural Networks	2001
Joseph Bruce and Risto Miikkulainen, In Proceedings of the Genetic and Evolutionary Computation Conference, pp. 251-257, San Francisco, CA 2001. Morgan Kaufmann.
From Word Stream To Gestalt: A Direct Semantic Parse For Complex Sentences	2001
Bobby D. Bryant and Risto Miikkulainen, Technical Report AI98-274, AI Lab, University of Texas at Austin.
Scaling Self-Organizing Maps To Model Large Cortical Networks	2001
James A. Bednar, Amol Kelkar, and Risto Miikkulainen, Neuroinformatics (2001), pp. 275-302.
Semantic Effect On Episodic Associations	2001
Yaron Silberman, Risto Miikkulainen, and Shlomo Bentin, In Proceedings of the 23rd Annual Conference of the Cognitive Science Society, pp. 934-939 2001.
A Self-Organizing Neural Network For Contour Integration Through Synchronized Firing	2000
Yoonsuck Choe and Risto Miikkulainen, Proceedings of the 17th National Conference on Artificial Intelligence (AAAI-2000, Austin, TX), 123-128. Cambridge, MA: MIT Press, 2000
Effects Of Presynaptic And Postsynaptic Resource Redistribution In Hebbian Weight Adaptation	2000
Yoonsuck Choe, Risto Miikkulainen, and Lawrence K. Cormack, Neurocomputing, Vol. 32--33 (2000), pp. 77-82.
Eugenic Neuro-Evolution For Reinforcement Learning	2000
Daniel Polani and Risto Miikkulainen, In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2000), pp. 1041-1046, San Francisco 2000. Morgan Kaufmann.
Hebbian Learning And Temporary Storage In The Convergence-Zone Model Of Episodic Memory	2000
Michael Howe and Risto Miikkulainen, Neurocomputing, Vol. 32--33 (2000), pp. 817--821. Also J. M. Bower (editor), Computational Neuroscience: Trends in Research, 2000 (CNS*99, Pittsburgh, PA). New York: Plenum Press..
Neuro-Evolution And Natural Deduction	2000
Nirav S. Desai and Risto Miikkulainen, In Proceedings of The First {IEEE} Symposium on Combinations of Evolutionary Computation and Neural Networks, pp. 64-69, Piscataway, NJ 2000. IEEE.
Online Interactive Neuro-Evolution	2000
Adrian Agogino, Kenneth O. Stanley, and Risto Miikkulainen, Neural Processing Letters (2000), pp. 29-38.
Self-Organization Of Innate Face Preferences: Could Genetics Be Expressed Through Learning?	2000
James A. Bednar and Risto Miikkulainen, In Proceedings of the 17th National Conference on Artificial Intelligence and the 12th Annual Conference on Innovative Applications of Artificial Intelligence, pp. 117-122 2000.
Tilt Aftereffects In A Self-Organizing Model Of The Primary Visual Cortex	2000
James A. Bednar and Risto Miikkulainen, Neural Computation, Vol. 12 (2000), pp. 1721-1740.
Confidence Based Dual Reinforcement Q-Routing: An Adaptive On-Line Routing Algorithm	1999
Shailesh Kumar and Risto Miikkulainen, In 16th International Joint Conference on Artificial Intelligence (IJCAI-99), pp. 758--763, Stockholm, Sweden 1999. San Francisco, CA: Kaufmann.
Disambiguation And Grammar As Emergent Soft Constraints	1999
Risto Miikkulainen and Marshall R. Mayberry III, In Workshop on Thought and Language, Brian J. MacWhinney (Eds.), pp. 20-31, Iizuka, Japan 1999. Department of Artificial Intelligence, Kyushu Institute of Technology.
Modeling The Self-Organization Of Directional Selectivity In The Primary Visual Cortex	1999
Igor Farkas and Risto Miikkulainen, In Proceedings of the Ninth International Conference on Artificial Neural Networks, Erkki Oja and Samuel Kaski (Eds.), pp. 251-256, Amsterdam 1999. Elsevier.
SARDSRN: A Neural Network Shift-Reduce Parser	1999
Marshall R. Mayberry III and Risto Miikkulainen, In Proceedings of the 16th Annual International Joint Conference on Artificial Intelligence (IJCAI-99), pp. 820-825, Stockholm, Sweden 1999. San Francisco, CA: Kaufmann.
Solving Non-Markovian Control Tasks With Neuroevolution	1999
Faustino J. Gomez and Risto Miikkulainen, In Proceedings of the International Joint Conference on Artificial Intelligence, pp. 1356-1361, San Francisco, CA 1999. Kaufmann.
Using a Sequential SOM to Parse Long-Term Dependencies	1999
Marshall R. Mayberry III and Risto Miikkulainen, In Proceedings of the 21st Annual Conference of the Cognitive Science Society, Martin Hahn and Scott C. Stoness (Eds.), pp. 367-372 1999. Hillsdale, NJ: Erlbaum.
2-D Pole Balancing With Recurrent Evolutionary Networks	1998
Faustino Gomez and Risto Miikkulainen, In Proceedings of the International Conference on Artificial Neural Networks (ICANN-98), pp. 425-430, Skovde, Sweden 1998. Berlin, New York: Springer.
A Self-Organizing Neural Network Model of the Primary Visual Cortex	1998
Risto Miikkulainen, James Bednar, Yoonsuck Choe, and Joseph Sirosh, In Proceedings of the Fifth International Conference on Neural Information Processing (ICONIP'98), Volume 2, S. Usui, T. Omori (Eds.), pp. 815-818, Kitakyushu, Japan 1998.
Confidence Based Q-Routing: An On-Line Adaptive Network Routing Algorithm	1998
Shailesh Kumar and Risto Miikkulainen, Smart Engineering Systems: Neural Networks, Fuzzy Logic, Data Mining, and Evolutionary ProgrammingC. H. Dagli and M. Akay and O. Ersoy and B. R. Fernandez and A. Smith (Eds.), Vol. 8 (1998).
Evolving Neural Networks To Play Go	1998
Norman Richards, David Moriarty, and Risto Miikkulainen, Applied IntelligenceThomas B{"a}ck (Eds.) (1998), pp. 768-775. San Francisco, CA: Morgan Kaufmann.
Hierarchical Evolution Of Neural Networks	1998
David E. Moriarty and Risto Miikkulainen, In Proceedings of the 1998 IEEE Conference on Evolutionary Computation (ICEC98), pp. 428-433, Anchorage, AK 1998. Piscataway, NJ: IEEE.
Intrusion Detection With Neural Networks	1998
Jake Ryan, Meng-Jang Lin, and Risto Miikkulainen, In Advances in Neural Information Processing Systems 10, Michael I. Jordan and Michael J. Kearns and Sara A. Solla (Eds.), pp. 943-949, Department of Computer Sciences, The University of Texas ...
Modeling The Emergence Of Syllable Systems	1998
Melissa A. Redford, Chun Chi Chen, and Risto Miikkulainen, In Proceedings of the 20th Annual Conference of the Cognitive Science Society, Morton Ann Gernsbacher and Sharon J. Derry (Eds.), pp. 882-886 1998. Hillsdale, NJ: Erlbaum.
Pattern-Generator-Driven Development In Self-Organizing Models	1998
James A. Bednar and Risto Miikkulainen, In Computational Neuroscience: Trends in Research, 1998, pp. 317-323 1998.
Self-Organization And Segmentation In A Laterally Connected Orientation Map Of Spiking Neurons	1998
Yoonsuck Choe and Risto Miikkulainen, Neurocomputing (1998), pp. 139-157.
Convergence-Zone Episodic Memory: Analysis And Simulations	1997
Mark Moll and Risto Miikkulainen, Neural Networks, Vol. 10 (1997), pp. 1017--1036.
Culling And Teaching In Neuro-Evolution	1997
Paul McQuesten and Risto Miikkulainen, In Proceedings of the Seventh International Conference on Genetic Algorithms (ICGA-97, East Lansing, MI), Thomas B{"a}ck (Eds.), pp. 760-767 1997. San Francisco, CA: Morgan Kaufmann.
Dual Reinforcement Q-Routing: An On-Line Adaptive Routing Algorithm	1997
Shailesh Kumar and Risto Miikkulainen, Smart Engineering Systems: Neural Networks, Fuzzy Logic, Data Mining, and Evolutionary ProgrammingC. H. Dagli, M. Akay, O. Ersoy, B. R. Fernandez and A. Smith (Eds.), Vol. 7 (1997).
Dyslexic and Category-Specific Aphasic Impairments in a Self-Organizing Feature Map Model of the Lexicon	1997
Risto Miikkulainen, Brain and Language (1997), pp. 334-366.
Forming Neural Networks Through Efficient And Adaptive Coevolution	1997
David E. Moriarty and Risto Miikkulainen, Evolutionary Computation, Vol. 5 (1997), pp. 373--399.
Incremental Evolution Of Complex General Behavior	1997
Faustino Gomez and Risto Miikkulainen, Adaptive Behavior, 5 (1997), pp. 317-342.
Natural Language Processing With Subsymbolic Neural Networks	1997
Risto Miikkulainen, In Neural Network Perspectives on Cognition and Adaptive Robotics, Antony Browne (Eds.), pp. 120-139, Bristol, UK; Philadelphia, PA 1997. Institute of Physics Publishing.
Self-Organization And Segmentation With Laterally Connected Spiking Neurons	1997
Yoonsuck Choe and Risto Miikkulainen, In Proceedings of the 15th International Joint Conference on Artificial Intelligence (IJCAI-97), pp. 1120-1125, Nagoya, Japan 1997. San Francisco: Kaufmann.
Self-Organization, Plasticity, and Low-Level Visual Phenomena in a Laterally Connected Map Model of the Primary Visual Cortex	1997
Risto Miikkulainen, James A. Bednar, Yoonsuck Choe, and Joseph Sirosh, In Perceptual Learning, R. L. Goldstone and P. G. Schyns and D. L. Medin (Eds.), pp. 257-308 1997.
Visual Schemas In Neural Networks For Object Recognition And Scene Analysis	1997
Wee Kheng Leow, Risto Miikkulainen, Connection ScienceMichael A. Arbib (Eds.) (1997), pp. 1029-1031. MIT Press.
A Neural Network Model of Topographic Reorganization Following Cortical Lesions	1996
Joseph Sirosh and Risto Miikkulainen, In Computational Medicine, Public Health and Biotechnology: Building a Man in the Machine - Proceedings of the First World Congress Part II, M. Witten (Eds.), pp. 887-901, 1996. Teaneck, NJ: ...
Efficient Reinforcement Learning Through Symbiotic Evolution	1996
David E. Moriarty and Risto Miikkulainen, Machine LearningLeslie Pack Kaelbling (Eds.), AI94-224 (1996), pp. 11-32.
Evolving Obstacle Avoidance Behavior In A Robot Arm	1996
David E. Moriarty and Risto Miikkulainen, In From Animals to Animats 4: Proceedings of the Fourth International Conference on Simulation of Adaptive Behavior, Pattie Maes and Maja J. Mataric and Jean-Arcady Meyer and Jordan Pollack an...
Introduction: The Emerging Understanding of Lateral Interactions in the Cortex	1996
Risto Miikkulainen and Joseph Sirosh, In Lateral Interactions in the Cortex: Structure and Function, Sirosh, J., Miikkulainen, R., and Choe, Y. (Eds.) 1996. Electronic book, http://nn.cs.utexas.edu/web-pubs/htmlbook96.
Lateral Interactions In The Cortex: Structure And Function	1996
Joseph Sirosh, Risto Miikkulainen, and Yoonsuck Choe (editors), Electronic book, ISBN 0-9647060-0-8, http://nn.cs.utexas.edu/web-pubs/htmlbook96/. Austin, TX: The UTCS Neural Networks Research Group
Laterally Interconnected Self-Organizing Maps In Hand-Written Digit Recognition	1996
Yoonsuck Choe, Joseph Sirosh, and Risto Miikkulainen, In Advances in Neural Information Processing Systems 8, David S. Touretzky and Michael C. Mozer and Michael E. Hasselmo (Eds.), pp. 736-742 1996. Cambridge, MA: MIT Press.
On-Line Adaptation Of A Signal Predistorter Through Dual Reinforcement Learning	1996
Patrick Goetz, Shailesh Kumar and Risto Miikkulainen, In Machine Learning: Proceedings of the 13th Annual Conference (Bari, Italy), Lorenza Saitta (Eds.), pp. 175-181 1996. San Francisco, CA: Morgan Kaufmann.
Self-Organization and Functional Role of Lateral Connections and Multisize Receptive Fields in the Primary Visual Cortex	1996
Joseph Sirosh and Risto Miikkulainen, Neural Processing Letters, Vol. 3 (1996), pp. 39-48.
Self-Organization of Orientation Maps, Lateral Connections, and Dynamic Receptive Fields in the Primary Visual Cortex	1996
Joseph Sirosh, Risto Miikkulainen and James A. Bednar, In {P}roceedings of the {I}nternational {C}onference {on} {A}rtificial {N}eural {N}etworks, Joseph Sirosh and Risto Miikkulainen and Yoonsuck Choe (Eds.), pp. 1147-1152, Berlin 1996. Springer...
Subsymbolic Case-Role Analysis Of Sentences With Embedded Clauses	1996
Risto Miikkulainen, Cognitive Science, Vol. 20 (1996), pp. 47-73.
Topographic Receptive Fields and Patterned Lateral Interaction in a Self-Organizing Model of the Primary Visual Cortex	1996
Joseph Sirosh and Risto Miikkulainen, Neural Computation, Vol. 9 (1996), pp. 577-594.
A Model Of Visually Guided Plasticity Of The Auditory Spatial Map In The Barn Owl	1995
Andrea Haessly, Joseph Sirosh and Risto Miikkulainen, In Proceedings of the 17th Annual Conference of the Cognitive Science Society, pp. 154-158 1995. Hillsdale, NJ: Erlbaum.
Discovering Complex Othello Strategies Through Evolutionary Neural Networks	1995
David E. Moriarty and Risto Miikkulainen, Connection Science, Vol. 7 (1995), pp. 195--209.
Learning Sequential Decision Tasks	1995
David E. Moriarty and Risto Miikkulainen, Technical Report AI95-229, Department of Computer Sciences, The University of Texas at Austin.
Modeling Cortical Plasticity Based On Adapting Lateral Interaction	1995
Joseph Sirosh and Risto Miikkulainen, In The Neurobiology of Computation: {T}he Proceedings of the Third Annual Computation and Neural Systems Conference, James M. Bower (Eds.), pp. 305-310 1995.
Ocular Dominance and Patterned Lateral Connections in a Self-Organizing Model of the Primary Visual Cortex	1995
Joseph Sirosh and Risto Miikkulainen, In Advances in Neural Information Processing Systems 7, Gerald Tesauro and David S. Touretzky and Todd K. Leen (Eds.), pp. 109-116 1995. Cambridge, MA: MIT Press.
SARDNET: A Self-Organizing Feature Map For Sequences	1995
Daniel L. James and Risto Miikkulainen, In Advances in Neural Information Processing Systems 7 (NIPS'94), G. Tesauro, D. S. Touretzky, and T. K. Leen (Eds.), pp. 577--584, Denver, CO 1995. Cambridge, MA: MIT Press.
Script-Based Inference And Memory Retrieval In Subsymbolic Story Processing	1995
Risto Miikkulainen, Applied Intelligence (1995), pp. 137-163.
Visual Schemas In Object Recognition And Scene Analysis	1995
Risto Miikkulainen and Wee Kheng Leow, In The Handbook of Brain Theory and Neural Networks, M. A. Arbib (Eds.), pp. 1029--1031, Cambridge, MA 1995. MIT Press.
Visualizing High-Dimensional Structure With The Incremental Grid Growing Neural Network	1995
Justine Blackmore and Risto Miikkulainen, In Machine Learning: Proceedings of the 12th Annual Conference, Armand Prieditis and Stuart Russell (Eds.), pp. 55-63, Austin, TX 1995. San Francisco, CA: Morgan Kaufmann. 55-63. Technical Repo...
Cooperative Self-Organization Of Afferent And Lateral Connections In Cortical Maps	1994
Joseph Sirosh and Risto Miikkulainen, Biological Cybernetics (1994), pp. 66-78.
Evolutionary Neural Networks For Value Ordering In Constraint Satisfaction Problems	1994
David E. Moriarty and Risto Miikkulainen, Technical Report AI94-218, Department of Computer Sciences, The University of Texas at Austin.
Evolving Neural Networks To Focus Minimax Search	1994
David E. Moriarty and Risto Miikkulainen, In Proceedings of the Twelfth National Conference on Artificial Intelligence (AAAI-94), pp. 1371-1377, Seattle, WA 1994. Cambridge, MA: MIT Press.
Grounding Robotic Control With Genetic Neural Networks	1994
Diane Law and Risto Miikkulainen, Technical Report AI94-223, Department of Computer Sciences, The University of Texas at Austin.
Integrated Connectionist Models: Building AI Systems on Subsymbolic Foundations	1994
Risto Miikkulainen, Artificial Intelligence and Neural Networks: Steps Toward Principled IntegrationHonavar, V., and Uhr, L. (Eds.) (1994), pp. 483--508.
Lexical Disambiguation Based on Distributed Representations of Context Frequency	1994
Marshall R. Mayberry III and Risto Miikkulainen, In Proceedings of the 16th Annual Conference of the Cognitive Science Society, Ashwin Ram and Kurt Eiselt (Eds.), pp. 601-606 1994. Hillsdale, NJ: Erlbaum.
Parsing Embedded Clauses with Distributed Neural Networks	1994
Risto Miikkulainen and Dennis Bijwaard, In Proceedings of the Twelfth National Conference on Artificial Intelligence, pp. 858-864, January 1994.
Parsing Embedded Clauses with Distributed Neural Networks	1994
Risto Miikkulainen and Dennis Bijwaard, In Proceedings of the Twelfth National Conference on Artificial Intelligence, pp. 858-864, January 1994.
Priming, Perceptual Reversal, And Circular Reaction In A Neural Network Model Of Schema-Based Vision	1994
Wee Kheng Leow and Risto Miikkulainen, In Proceedings of the 16th Annual Conference of the Cognitive Science Society, Ashwin Ram and Kurt Eiselt (Eds.), pp. 560-565 1994. Hillsdale, NJ: Erlbaum.
Representing And Learning Visual Schemas In Neural Networks For Scene Analysis	1994
Wee Kheng Leow and Risto Miikkulainen, In Proceedings of the Workshop on Neural Architectures and Distributed {AI}: {F}rom Schema Assemblages to Neural Networks, pp. 35-40, Los Angeles 1994. Center for Neural Engineering, Universit...
Self-Organizing Feature Maps With Lateral Connections: Modeling Ocular Dominance	1994
Joseph Sirosh and Risto Miikkulainen, In Proceedings of the 1993 Connectionist Models Summer School, M. C. Mozer and P. Smolensky and D. S. Touretzky and J. L. Elman and A. S. Weigend (Eds.), pp. 31-38 1994.
The Capacity Of Convergence-Zone Episodic Memory	1994
Mark Moll, Risto Miikkulainen, Jonathan Abbey, In Proceedings of the Twelfth National Conference on Artificial Intelligence (AAAI-94), pp. 68-73, Seattle, WA 1994. Cambridge, MA: MIT Press.
Verb Inflections in German Child Language: A Connectionist Account	1994
Gert Westermann and Risto Miikkulainen, In Proceedings of the 16th Annual Conference of the Cognitive Science Society, Ashwin Ram and Kurt Eiselt (Eds.), pp. 928-933 1994. Hillsdale, NJ: Erlbaum.
VISOR: Schema-Based Scene Analysis With Structured Neural Networks	1994
Wee Kheng Leow and Risto Miikkulainen, Neural Processing Letters, Vol. 1 (1994), pp. 18--23.
How Lateral Interaction Develops In A Self-Organizing Feature Map	1993
Joseph Sirosh and Risto Miikkulainen, In Proceedings of the IEEE International Conference on Neural Networks (San Francisco, CA), pp. 1360-1365 1993. Piscataway, NJ: IEEE.
Incremental Grid Growing: Encoding High-Dimensional Structure Into A Two-Dimensional Feature Map	1993
Justine Blackmore and Risto Miikkulainen, In Proceedings of the IEEE International Conference on Neural Networks (San Francisco, CA), pp. 450-455 1993. Piscataway, NJ: IEEE.
Representing Visual Schemas in Neural Networks for Scene Analysis	1993
Wee Kheng Leow and Risto Miikkulainen, In Proceedings of the IEEE Conference on Neural Networks (ICNN-93), pp. 1612-1617, San Francisco, CA 1993. Piscataway, NJ: IEEE.
Subsymbolic Natural Language Processing: An Integrated Model Of Scripts, Lexicon, And Memory	1993
Risto Miikkulainen, , MIT Press, Cambridge, MA 1993. MIT Press.
Data Rectification Using Recurrent (Elman) Neural Networks	1992
Thomas W. Karjala, David M. Himmelblau and Risto Miikkulainen, In Proceedings of the International Joint Conference on Neural Networks (IJCNN-92), Vol. II, pp. 901--906, Baltimore, MD 1992. Piscataway, NJ: IEEE.
Trace Feature Map: A Model Of Episodic Associative Memory	1992
Risto Miikkulainen, Biological Cybernetics, Vol. 66 (1992), pp. 273--282.
A Neural Network For Attentional Spotlight	1991
Wee Kheng Leow and Risto Miikkulainen, In Proceedings of the International Joint Conference on Neural Networks (Singapore), AI91-165, pp. 436-441 1991. Piscataway, NJ: IEEE.
Natural Language Processing With Modular PDP Networks And Distributed Lexicon	1991
Risto Miikkulainen and Michael G. Dyer, Cognitive Science, Vol. 15 (1991), pp. 343-399.
Self-Organizing Process Based On Lateral Inhibition And Synaptic Resource Redistribution	1991
Risto Miikkulainen, In Proceedings of the 1991 International Conference on Artificial Neural Networks, Teuvo Kohonen and Kai M{"a}kisara and Olli Simula and Jari Kangas (Eds.), pp. 415-420 1991. Amsterdam: North-H...
Using Marker-Based Genetic Encoding Of Neural Networks To Evolve Finite-State Behaviour	1991
Brad Fullmer and Risto Miikkulainen, In Toward a Practice of Autonomous Systems: {P}roceedings of the First {E}uropean Conference on Artificial Life, Francisco J. Varela and Paul Bourgine (Eds.), pp. 255-262, Cambridge, MA 1991. ...
A PDP Architecture For Processing Sentences With Relative Clauses	1990
Risto Miikkulainen, In Proceedings of the 13th International Conference on Computational Linguistics (COLING-90), pp. 201--206, Helsinki, Finland: Yliopistopaino 1990.
DISCERN: A Distributed Artificial Neural Network Model Of Script Processing And Memory	1990
Risto Miikkulainen, PhD Thesis, University of California. 334.
Distributed Connectionist Knowledge Representations in Script/Goal-Based Story Understanding	1990
Geunbae Lee and Risto Miikkulainen, In Proceedings of Seoul International Conference on Natural Language Processing (SICONLP-90), pp. 339-350, Seoul, Korea 1990. Seoul National University Language Research Institute.
Script Recognition With Hierarchical Feature Maps	1990
Risto Miikkulainen, Connection Science, Vol. 2 (1990), pp. 83-101.

Projects

[Expand to show all 29]

The Role of Emotion and Communication in Cooperative Behavior	2013 - 2016
Evolving Controllers for Physical Multilegged Robots	2010 - 2011
A Predictive Simulation Model of Competitive Dynamics in Innovation	2009 - 2013
The OpenNERO AI Research and Education Platform	2009 - Present
Learning Strategic Behavior in Sequential Decision Tasks	2009 - 2014
Borg: A General-Purpose Algorithm Portfolio System	2009 - 2013
Coevolution of Competitive and Cooperative Agent Behavior	2009 - Present
Constructing Intelligent Agents in Simulated Worlds	2008 - 2010
Leveraging Human Creativity with Machine Discovery	2008 - 2010
Computational and Behavioral Evidence for Bilingual Aphasia Rehabilitation	2008 - 2011
Evolving Locomotion Controllers for Multilegged Robots	2008 - 2010
Human-like Bots in Unreal Tournament	2008 - 2012
Modular Neuroevolution for Multilegged Locomotion	2007 - 2012
A computational analysis of meditation	2005 - Present
Developing Complex Systems Using Evolved Pattern Generators	2004 - 2006
NEAT: Evolving Vehicle Warning Systems	2004 - 2006
NERO: NeuroEvolving Robotic Operatives	2003 - 2009
Neural Network Models of Schizophrenic Language	2003 - Present
Controlling a Finless Rocket Through Neuroevolution	2002 - 2003
Diverse Behavior in Teams of Homogeneous Agents	2001 - 2007
Intrusion Detection	1998 - 1998
Understanding Sentences with Relative Clauses: The SPEC System	1993 - 1994
Organization and Disorders of the Mental Lexicon: The DISLEX System	1990 - 1999
Processing Script-Based Stories: The DISCERN System	1990 - 1994
Storing Information on Maps: The Trace Feature Map Model	1990 - 1994
HFM: Hierarchical Features Maps	1989 - 1994
Learning Word Meanings: The FGREP Method	1987 - 1994
LISSOM: Laterally Interconnected Self-Organizing Maps	1987 - 1997
Computational Maps in the Visual Cortex	1987 - 2009

Software/Data

[Expand to show all 15]

ContextSkillCARLA	Code relating to the experiments involved in studying the effectiveness of the Context+Skill neural network applied to t...	2022

MARLEDA	Markovian Learning Estimation of Distribution Algorithm (MARLEDA) is an Estimation of Distribution Algorithm (EDA) that ...	2013

mMARLEDA	The mMarleda package extends the MARLEDA software to multiobjective optim...	2013

NKVis	This package contains a 3D visualization tool for NK fitness landscapes. Two types of visualizations are provided: a	2011

ENSO	This package contains software implementing the ENSO approach for evolving symmetric modular neural networks. It also in...	2010

OpenNERO	OpenNERO is a general research and education platform for artificial intelligence. The platform is based on a simulatio...	2010

Sorting Networks	This package contains software utilizing an approach based on symmetry and evolution to minimize the number of comparato...	2010

SignalSim	The SignalSim Spiking Neuron package is a Tcl/Tk GUI built on top of an event-driven simulator of an interconnected net...	2002

SOFM	The SOFM package contains C- and TK/TCL-code (integrated through SWIG) for the standard feature map algorithm for formi...	2002

DISLEX	This package contains the C-code and data for training and testing the DISLEX model of the lexicon, which is also par...	1994

FGREPNET	The FGREPNET package contains the C-code and data for training and testing an FGREP network in developing distributed re...	1994

HFM	The HFM package contains the C-code and data for training and testing the HFM memory organization and hierarchical class...	1994

PROC	The PROC package contains the C-code and data for training and testing the story processing modules of the DISCERN syste...	1994

SPEC	The SPEC package contains the C-code and data for training and testing the SPEC system for processing complex sentences ...	1994

DISCERN	DISCERN is a large, modular neural network system for reading, paraphrasing and answering questions about stereotypical ...	1993

Demos

[Expand to show all 23]

Bilevel Optimization of the Helicopter Hovering Control Task	Jason Zhi Liang and Risto Miikkulainen	2015
A Neuroevolution Approach to General Atari Game Playing	Matthew Hausknecht	2013
Open-Ended Behavioral Complexity for Evolved Virtual Creatures	Dan Lessin, Don Fussell, Risto Miikkulainen	2013
Cooperation to Overcome a More Powerful Adversary	Kay Holekamp	2012
Simulation of Competitive Multi-Agent Search on NK Fitness Landscapes	Erkin Bahceci	2012
UT^2: Winner of 2012 BotPrize in Unreal Tournament 2004	Jacob Schrum, Igor Karpov	2012
Evolving Controllers for Physical Multilegged Robots	Vinod Valsalam	2011
A Subsymbolic Model of Schizophrenic Language	Uli Grasemann	2010
Fitness-based Shaping in Multi-objective Domains	Jacob Schrum	2010
Evolving Controller Symmetry for Multilegged Robots	Vinod Valsalam	2010
Learning in Fractured Domains	Nate Kohl	2009
Multi-modal Behavior in NPCs	Jacob Schrum	2009
Multi-objective Neuroevolution of NPCs	Jacob Schrum	2008
Modular Neuroevolution for Multilegged Locomotion	Vinod Valsalam	2008
Evolving Cooperation in Multiagent Systems	Chern Yong	2007
Handwritten Digit Recognition Utilizing Evolved Pattern Generators	Vinod Valsalam	2007
Neuro-Evolving Robotic Operatives (NERO)	Kenneth Stanley	2007
Adaptive Teams of Agents in the Legion II game	Bobby Bryant	2006
Evolving Vehicle Warning Systems	Nate Kohl	2006
INSOMNet Demo and package	Marshall Mayberry III	2003
Finless Rocket Control	Faustino Gomez	2003
Neuroevolution of Augmenting Topologies Demos	Kenneth Stanley	2003
Double Pole Balancing with ESP	Faustino Gomez	1999

Labs

Currently affiliated with Neural Networks