UNIT 1:
Characteristics of Intelligent Agents
Typical Intelligent Agents
Future of Artificial Intelligence
Agents and its Environments
Problem Solving Approach to Typical AI problems
UNIT 2:
Search Strategies- Uninformed – Informed
Constraint Satisfaction Problems
Constraint Propagation – Backtracking Search
Local Search Algorithms and Optimization Problems
Searching with Partial Observations
Alpha – Beta Pruning – Stochastic Games
Game Playing – Optimal Decisions in Games
UNIT 3:
First Order Predicate Logic
Prolog Programming – Unification
Forward Chaining-Backward Chaining
Events – Mental Events and Mental Objects
Reasoning Systems for Categories - Reasoning with Default Information
UNIT 4:
Architecture for Intelligent Agents
Characteristics of multi-agent System
Types of intellligent agents
Negotiation and Bargaining
Argumentation among Agents
Trust and Reputation in Multi-agent systems
Coordination in Multiagent system
Cooperation in Multiagent system
UNIT 5:
Natural Language Processing
Perception – Planning – Moving
