Table of Contents

Introduction to AI and Soft Computing . The Psychological Perspective of Cognition. Production Systems. Problem Solving by Intelligent Search. The Logic of Propositions and Predicates. Principles in Logic Programming . Default and Non-Monotonic Reasoning. Structured Approach to Knowledge Representation . Dealing with Imprecision and Uncertainty. Structured Approach to Fuzzy Reasoning. Reasoning with Space and Time. Intelligent Planning. Machine Learning Techniques. Machine Learning using Neural Nets. Genetic Algorithms . Realizing Cognition using Fuzzy Neural Nets. Visual Perception. Linguistic Perception. Problem Solving by Constraint Satisfaction. Acquisition of Knowledge. Verification, Validation and Maintenance Issues. Parallel and Distributed Architecture for Intelligent Systems. Case Study I : Building a System for Criminal Investigation. Case Study II : Realization of Cognition for Mobile Robots. Appendices.
Each chapter contains exercises and references


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About the Author

Amit Konar (Jadavpur University, Calcutta, India)