CS2064 AGENT BASED INTELLIGENT SYSTEMS Syllabus

 CS2064   AGENT BASED INTELLIGENT SYSTEMS  Syllabus

 CS2064                AGENT BASED INTELLIGENT SYSTEMS                    L  T  P  C
                                                                                                                             3   0   0  3
UNIT I    INTRODUCTION                                           9
Definitions  -  Foundations  -  History  -  Intelligent  Agents-Problem  Solving-Searching  -
Heuristics -Constraint Satisfaction Problems - Game playing.

UNIT II     KNOWLEDGE REPRESENTATION AND REASONING             9
Logical  Agents-First  order  logic-First  Order  Inference-Unification-Chaining-  Resolution
Strategies-Knowledge Representation-Objects-Actions-Events

UNIT III  PLANNING AGENTS                                           9
Planning Problem-State Space Search-Partial Order Planning-Graphs-Nondeterministic
Domains-Conditional Planning-Continuous Planning-MultiAgent Planning.

UNIT IV  AGENTS AND UNCERTAINITY                                        9
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                               9
Knowledge  in  Learning-Relevance  Information-Statistical  Learning  Methods-
Reinforcement  Learning-Communication-Formal  Grammar-Augmented  Grammars-
Future of AI.
TOTAL: 45 PERIODS

TEXT BOOK:
1.  Stuart Russell and Peter Norvig, “Artificial Intelligence - A Modern Approach”,2nd
 
2.  Edition, Prentice Hall, 2002

REFERENCES:
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