CS9266 AGENT BASED INTELLIGENT SYSTEMS

CS9266 AGENT BASED INTELLIGENT SYSTEMS

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-MultiAgent 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:
1. Stuart Russell and Peter Norvig, “Artificial Intelligence - A Modern Approach”, 2nd Edition,
Prentice Hall, 2002
REFERENCES:
1. Michael Wooldridge, “An Introduction to Multi Agent System”, John Wiley, 2002.
2. Patrick Henry Winston, Artificial Intelligence, III Edition, AW, 1999.
3. Nils.J.Nilsson, Principles of Artificial Intelligence, Narosa Publishing House, 1992.