Our artificial intelligence research addresses the central challenges of machine cognition, both from a theoretical perspective and from an empirical, implementation-oriented perspective.
Topics:
- Automatic Programming
- Generic Programs, Partial Evaluation, Design Representation, Inference, Programming Interfaces.
- Automated Reasoning and Interactive Theorem Proving
- Simplification; Induction; Concept-formation; Lemma discovery; User interfaces; Hardware and software modeling and verification.
- Autonomous Agents
- Learning agents; Bidding agents; Robots; Game AI.
- Computer Vision
- Object and activity recognition; Content-based retrieval; Learning and vision; Robot vision; Biologically inspired vision.
- Data Mining
- Database search and mining; Large-scale data analysis; Social network analysis; Network estimation.
- Knowledge Representation and Reasoning
- Knowledge representation languages: Description logic, frames, graphical representations; Knowledge content areas: Temporal, Spatial, Causal knowledge; Ontology; Semantic matching; Constraint satisfaction; Expert systems; Semantic web; Cognitive modeling: memory models; Belief revision and truth maintenance.
- Learning Theory
- Computational and statistical analysis of learning algorithms; Online learning; Active learning; Probabilistic inference.
- Logic-based AI
- Commonsense knowledge; Reasoning about actions; Nonmonotonic reasoning; Answer set programming.
- Machine Learning
- Supervised learning; Reinforcement learning; Transfer learning; Active learning; Optimization; Graphical models; Nonparametric models; Probabilistic inference; Deep Learning.
- Multiagent Systems
- Multiagent learning; Multirobot systems; Game theory.
- Natural Computation
- Neural networks; Evolutionary computation; Computational neuroscience; Cognitive science.
- Natual Language Processing
- Syntactic parsing; Semantic analysis; Information extraction; Grounded language; Question answering; Dialog systems.
- Robotics
- Robot learning; Developmental robotics; Multirobot systems; Multilegged walking; Embodied Cognition.
- AI Applications
- Autonomous driving; Robot soccer; Question answering; Math and Physics Problem Solving; Nonlinear control; Game playing; Fraud detection.
Courses:
- CS 343 Artificial Intelligence
- CS 344M Autonomous Multiagent Systems
- CS 371R Information Retrieval and Web Search
- CS 376 Computer Vision
- CS 342 Neural Networks
- CS 363 Data Mining
- CS 378 Computational Brain
- CS 388 Natural Language Processing
- CS 388L Introduction to Mathematical Logic
- CS 391D Data Mining: A Mathematical Perspective
- CS 391L Machine Learning
- CS 393R Autonomous Robots
- CS 394F Knowledge Representation and Reasoning
- CS 394N Neural Networks
- CS 394P Automatic Programming
- CS 394R Reinforcement Learning: Theory and Practice
- CS 395T Logic-Based Artificial Intelligence
- CS 395T Object Recognition
- CS 395T Introduction to Cognitive Science
- CS 395T Learning Theory
- CS 395T Deep Learning
- CS 395T 3D Vision
