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Artificial Intelligence / Third Edition

Contributor(s): Material type: TextPublication details: Addison Wesley Longman, 1992Edition: 3rdDescription: 744ISBN:
  • 201533774
Summary: This book explains how it is possible for computers to reason and perceive, thus introducing the field called artificial intelligence. Acknowledgements, Software, Preface, Representations and Methods, The Intelligent Computer, Semantic Nets and Description Matching, Nets and Basic Search, Nets and Optimal Search, Trees and Adversarial Search, Rules and Rule Chaining, Frames and Inheritance, Frames and Commonsense, Numeric Constraints and Propagation, Symbolic Constraints and Propagation, Logic and Resolution Proof, Backtracking and Truth Maintenance, Planning, Learning and Regularity Recognition, Learning by Analyzing Differences, Learning by Correcting Mistakes, Learning by Recording Cases, Learning by Training Neural Nets, Learning by Simulating Evolution, Vision and Language, Describing Images, Expressing Language Constraints, Bibliography, Index, Conclusion.
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This book explains how it is possible for computers to reason and perceive, thus introducing the field called artificial intelligence. Acknowledgements, Software, Preface, Representations and Methods, The Intelligent Computer, Semantic Nets and Description Matching, Nets and Basic Search, Nets and Optimal Search, Trees and Adversarial Search, Rules and Rule Chaining, Frames and Inheritance, Frames and Commonsense, Numeric Constraints and Propagation, Symbolic Constraints and Propagation, Logic and Resolution Proof, Backtracking and Truth Maintenance, Planning, Learning and Regularity Recognition, Learning by Analyzing Differences, Learning by Correcting Mistakes, Learning by Recording Cases, Learning by Training Neural Nets, Learning by Simulating Evolution, Vision and Language, Describing Images, Expressing Language Constraints, Bibliography, Index, Conclusion.

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