Intelligent Systems : Principles, paradigms, and Pragmatics
- New Delhi Jones and Bertlett India Pvt. Ltd. 2011,c2011
- 758
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.