Instructor:
Dr. Vasant Honavar
Artificial Intelligence Research Group
Department of Computer Science
Iowa State Universtity
3 Credits. Offered Alternate Spring. Next Scheduled Offering Spring 1997. Prerequisites: ComS 572 or 472 or 474.
Design, Analysis, and Application of Programs that Learn from Experience. Statistical, Syntactic, Information-Theoretic, Neural, Cognitive, and Evolutionary models. Automated learning of classification rules, programs, functions, relations, grammars, value functions, models, skills, and behaviors. Computational learning theory (PAC, Maximum Likelihood, Minimum Description Length and related frameworks). Learning from instances, induction, deduction, reinforcement, and exploration. Incremental, multi-task multi-strategy learning. Selected applications in Scientific Data Analysis, Data-Driven Knowledge Discovery and Theory Refinement, Bioinformatics, Analysis and Control of Complex Dynamical Systems, Intelligent Agents and Multi-Agent Systems.