CISC 481: Introduction to Artificial Intelligence

Catalog Description:
Programming techniques for approaching intractable problems and assisting in the determination of rational courses of action. State-space problem formulation, heuristic search strategies, logical reasoning, knowledge representation, action planning, machine learning, uncertain reasoning.

Current Texts:
Artificial Intelligence: A Modern Approach
S. Russell and P. Norvig
Prentice Hall

ANSI Common Lisp
Paul Graham
Prentice Hall

Goals:
The course is intended as an introduction and survey of the field of Artificial Intelligence (AI). The emphasis will be on fundamental techniques which underlie many AI applications. Some of these application areas will be discussed.

Content:

• Problem Formulation/Representation
• Search
• Knowledge Representation
• Lisp
• Prolog
• Planning
• Learning
• Reasoning with Uncertainty (optional)
• Vision (optional)
• Natural Language Processing (optional)
• Intelligent Agents and Multiagent Systems (optional)

Typical Course Requirements: 3-5 small homework sets, 3-4 lisp/prolog programming assignments, mid-term and final exams.

Required Background: CISC 280 and either CISC 301 or CISC 310.

Helpful Background: Lisp