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Artificial Intelligence Course Outline Course Material • Text books: – Artificial Intelligence: Structures and Strategies for Complex Problem Solving (4th ed.), George F. Luger, Addison-Wesley • http://www.cs.unm.edu/~luger/ai-final/ – Artificial Intelligence, A Modern Approach, Stuart Russell and Peter Norvig, Prentice Hall • http://aima.cs.berkeley.edu/ Course Description • Artificial Intelligence is the subfield of computer science concerned with automating tasks that would require "intelligence" if performed by people. • AI is a highly eclectic field, with roots in mathematics, logic, psychology, philosophy, and engineering. • The goal of this course is to introduce and survey the field of Artificial Intelligence, paying special attention to foundational concepts and theories. • In addition, current trends and approaches in AI research will be studied Course Outline • • • • • • • • • • Course overview and Introduction to AI AI history LOGIC PROGRAMMING Predicate logic, Prolog Prolog Basics Prolog: unification, Resolution, lists More Prolog: built-in predicates, Operators AI AS SEARCH State spaces, uninformed strategies Constraint-based search Course Outline (contd.) • • • • • • • • • • • • Heuristics, Informed strategies Optimization problems, Game Trees REPRESENTATION & AI Semantic nets, Frames Expert Systems, Uncertainty Rule-based Reasoning MACHINE LEARNING Connectionist Models Emergent Models Genetic Algorithms, a-life Case Studies: Eliza, Mycin Student presentations Questions & Answers ???????