Contents :
1.Introduction to Intelligent Systems
2. First step in IS : Representation ,Ontologies and Obtaining Expertise
3.Search and Computational Complexity in IS
4.Constraint Satisfaction Problems, Part - 1
5. CSPs, part -2 Structural Approaches Leading to Natural language Understanding and Related Topics
6. From Logic-Based Chaining to Production Systems
7.The C Language Integrated Production Systems (CLIPS)
8.Extended Production System Representation and Manipulation Approaches, Including Agents
9.Soar
10. Representing and Manipulation Uncertainty in IS, Part 1 : Confidence Factors,Probability, Belief Networks and Multi-valued Logic
11.Representing adn Manipulation Uncertianty in IS,Part 2 : Fuzzy Systems and Fuzzy CLIPS
12.Planning in IS
13.Biologically-Inspired Computing adn IS : NEural Networks (Part 1)
14. Neural Network (Part 2) : Recurrent Networks and IS Applications
15.Neural Networks (Part 3) : Self-Organizing System
16.Learning in IS
17.Genetic Algorithms,Swarm Intelligence and other Evolutionary Computing Concepts in IS.