MMCE11

SOFTWARE AGENTS

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.