Concept and Schema Learning
An agent can truly understand the meaning of its knowledge structures, and utilize them most effectively, only if that knowledge is grounded on sensorimotor interactions with the world. We aim at building systems that learn such grounded representations, from basic causal concepts to high-level schemas of visual scenes.
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Harold H. Chaput Ph.D. Alumni hchaput [at] ea com
Harold H. Chaput Ph.D. Alumni hchaput [at] ea com
Igor Farkas Postdoctoral Alumni farkas [at] fmph uniba sk
Lisa C. Kaczmarczyk Ph.D. Alumni lisakacz [at] gmail com
Wee Kheng Leow Ph.D. Alumni leowwk [at] comp nus edu sg
Risto Miikkulainen Faculty risto [at] cs utexas edu
Jefferson Provost Ph.D. Alumni jefferson provost [at] gmail com
Jefferson Provost Ph.D. Alumni jefferson provost [at] gmail com
Lappoon R. Tang Ph.D. Alumni ltang [at] utb edu
Gert Westermann Formerly affiliated Visitor gwestermann [at] brookes ac uk
Paul Williams Undergraduate Alumni pwilly [at] cs utexas edu
Dasa Zeithamova Formerly affiliated Collaborator zeithamova [at] mail utexas edu
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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.
Computational models inform clinical science and assessment: An application to category learning in striatal-damaged patients 2010
W. Todd Maddox, J. Vincent Filoteo and Dagmar Zeithamova, Journal of Mathematical Psychology, Vol. 54, 1 (2010), pp. 109-122.
Category Learning Systems 2008
Dagmar Zeithamova, PhD Thesis, Institute for Neuroscience, The University of Texas at Austin.
Dissociable prototype learning systems: Evidence from brain imaging and behavior 2008
Dagmar Zeithamova, W. Todd Maddox and David M. Schnyer, Journal of Neuroscience, Vol. 28, 49 (2008), pp. 13194-13201.
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.
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.
Learning Visual Scene Descriptions: An Approach to Symbol Grounding 2005
Paul Williams, Technical Report TR-06-01, Department of Computer Science, The University of Texas at Austin.
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.
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.
A Model Of Infant Causal Perception And Its Development 2001
Harold H. Chaput and Leslie B. Cohen, In Proceedings of the 23rd Annual Conference of the Cognitive Science Society, pp. 182-187 2001.
Post-Piagetian constructivism for grounded knowledge acquisition 2001
Harold H. Chaput, In Proceedings of the AAAI Spring Symposium Series on Grounded Knoweldge, Palo Alto, CA 2001.
Toward Learning the Causal Layer of the Spatial Semantic Hierarchy using SOMs 2001
Jefferson Provost, Patrick Beeson, and Benjamin J. Kuipers, In AAAI Spring Symposium Series, Learning Grounded Representations 2001.
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.
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.
A Connectionist Corpus-Based Approach to the Building of Word Representations 1994
Rupert L. Tang, Technical Report HR-94-01, Department of Computer Science, The University of Texas at Austin.
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.
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...
VISOR: Learning Visual Schemas In Neural Networks For Object Recognition And Scene Analysis 1994
Wee Kheng Leow, PhD Thesis, Department of Computer Sciences, The University of Texas at Austin. 198 pages. Technical Report AI-94-219.
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.
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.
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