Unit I : INTRODUCTION
Definitions - Foundations - History - Intelligent Agents - Problem Solving-Searching - Heuristics - Constraint Satisfaction Problems - Game playing.
Unit II : KNOWLEDGE REPRESENTATION AND REASONING
Logical Agents-First order logic-First Order Inference-Unification-Chaining- Resolution Strategies-Knowledge Representation-Objects-Actions-Events
Unit III : PLANNING AGENTS
Planning Problem-State Space Search-Partial Order Planning-Graphs-Nondeterministic Domains-Conditional Planning-Continuous Planning-Multi Agent Planning.
Unit IV : AGENTS AND UNCERTAINITY
Acting under uncertainty - Probability Notation - Bayes Rule and use - Bayesian Networks-Other Approaches - Time and Uncertainty - Temporal Models - Utility Theory - Decision Network - Complex Decisions
Unit V : HIGHER LEVEL AGENTS
Knowledge in Learning-Relevance Information-Statistical Learning Methods-Reinforcement Learning-Communication-Formal Grammar-Augmented Grammars- Future of AI.
Text Book(s) :
1. Stuart Russell and Peter Norvig, "Artificial Intelligence - A Modern Approach",2nd Edition, Prentice Hall, 2002
Referance Book(s) :
1. Michael Wooldridge, "An Introduction to Multi Agent System", John Wiley, 2002.
2. Patrick Henry Winston, Artificial Intelligence, 3rd Edition, AW, 1999.
3. Nils.J.Nilsson, Principles of Artificial Intelligence, Narosa Publishing House, 1992