Fundamentals of artificial intelligence

Fundamentals of Artificial Intelligence introduces the foundations of present day AI and provides coverage to recent developments in AI such as Constraint Satisfaction Problems, Adversarial Search and Game Theory, Statistical Learning Theory, Automated Planning, Intelligent Agents, Information Retrieval, Natural Language & Speech Processing, and Machine Vision. The book features a wealth of examples and illustrations, and practical approaches along with the theoretical concepts. It covers all major areas of AI in the domain of recent developments. The book is intended primarily for students who major in computer science at undergraduate and graduate level but will also be of interest as a foundation to researchers in the area of AI. --

Introduction.- Logic and Inferencing.- First Order Predicate Logic.- Rule Based Reasoning.- Introduction to Prolog Language.- Knowledge Representation and Reasoning.- Networks Based Representation.- State Space Search.- Heuristic Search.- Constraint Satisfaction Problems.- Search and Game Playing.- Reasoning in Uncertain Environments.- Planning.- Natural Language Processing.- Machine Learning.- Machine Vision.- Bibliography.

Intro -- Preface -- Acknowledgements -- Contents -- About the Author -- Acronyms -- 1 Introducing Artificial Intelligence -- 1.1 Introduction -- 1.2 The Turing Test -- 1.3 Goals of AI -- 1.4 Roots of AI -- 1.4.1 Philosophy -- 1.4.2 Logic and Mathematics -- 1.4.3 Computation -- 1.4.4 Psychology and Cognitive Science -- 1.4.5 Biology and Neuroscience -- 1.4.6 Evolution -- 1.5 Artificial Consciousness -- 1.6 Techniques Used in AI -- 1.7 Sub-fields of AI -- 1.7.1 Speech Processing -- 1.7.2 Natural Language Processing -- 1.7.3 Planning -- 1.7.4 Engineering and Expert Systems -- 1.7.5 Fuzzy Systems

1.7.6 Models of Brain and Evolution -- 1.8 Perception, Understanding, and Action -- 1.9 Physical Symbol System Hypothesis -- 1.9.1 Formal System -- 1.9.2 Symbols and Physical Symbol Systems -- 1.9.3 Formal Logic -- 1.9.4 The Stored Program Concept -- 1.10 Considerations for Knowledge Representation -- 1.10.1 Defining the Knowledge -- 1.10.2 Objective of Knowledge Representation -- 1.10.3 Requirements of a Knowledge Representation -- 1.10.4 Practical Aspects of Representations -- 1.10.5 Components of a Representation -- 1.11 Knowledge Representation Using Natural Language -- 1.12 Summary

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