1. INTRODUCTION [10]
Definitions — History — Intelligient Agents — Structure — Environment Basic Agents – Formulating — Search Strategies — Intelligent search — Game playing as search.
2. KNOWLEDGE BASED AGENTS [10]
Representation Logic — First order logic — Reflex Agent — Building a knowledge base — General Ontology — Inference Logical Recovery.
3. PLANNING AGENTS [10]
Situational Calculus — Representation of Planning — Partial order Planning — Practical planners — Conditional Planning — Replarining Agents.
4. AGENTS AND UNCERTAINITY [10]
Acting under uncertainty — Probability Bayes Rule and use — Belief Networks — Utility Theory — Decision Network — Value of information — Decision Theoretic Agent Design.-
5. HIGHER LEVEL AGENTS [10]
Learning agents General Model — Inductive learning — Learning Decision Trees — Reinforcement Learning — knowledge in learning -- Communicative agents — Types of Communicating agents — Future of Al.
REFERENCES:
1. Stuart Russell and Peter Norvig Artificial Intelligence — A Modern Approach Prentice Hall, 1995.
2. Patrick Henry Winston, Artificial Intelligence, 3 Edition, AW,1999.
3. Nils.J.Nilsson, Principles of A rtificial Intelligence, Narosa Publishing House. 1992.
