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Artificial intelligence : structures and strategies for complex problem solving / George F. Luger.

By: Material type: TextTextPublication details: New Delhi : Pearson Education, 2009Edition: 5th edDescription: xxiii, 903 p. ill. ; 24 cmISBN:
  • 9788131723272 (pbk)
Subject(s): DDC classification:
  • 006.3 22 L9512
Contents:
Part I: Artificial Intelligence: its Routes and Scope 1 AI: History and Applications Part II: Artificial Intelligence as Representation and Search 2 The Predicate Calculus 3 Structures and Strategies for State Space Search 4 Heuristic Search 5 Stochastic Methods 6 Building Control Algorithms for State Space Search Part III: Representation and Intelligence: The AI Challenge 7 Knowledge Representation 8 Strong Method Problem Solving 9 Reasoning in Uncertain Situations Part IV: Machine Learning 10 Machine Learning: Symbol-Based 11 Machine Learning: Connectionist 12 Machine Learning: Social and Emergent Part V: Advanced Topics for AI Problem Solving 13 Automated Reasoning 14 Understanding Natural Language Part VI: Languages and Programming Techniques for Artificial Intelligence 15 An Introduction to PROLOG 16 An Introduction to LISP Part VII: Epilogue 17 Artificial Intelligence as Empirical Enquiry Bibliography Author Index Subject Index
List(s) this item appears in: Computer | Computer_2022
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Item type Current library Call number Copy number Status Date due Barcode
Books Books UE-Central Library 006.3 L9512 (Browse shelf(Opens below)) Available T10246
Books Books UE-Central Library 006.3 L9512 (Browse shelf(Opens below)) Available T2065
Books Books UE-Central Library 006.3 L9512 (Browse shelf(Opens below)) c. 3 Available T12967

Includes bibliographical references (p. 855-881) and indexes.

Part I: Artificial Intelligence: its Routes and Scope 1 AI: History and Applications Part II: Artificial Intelligence as Representation and Search 2 The Predicate Calculus 3 Structures and Strategies for State Space Search 4 Heuristic Search 5 Stochastic Methods 6 Building Control Algorithms for State Space Search Part III: Representation and Intelligence: The AI Challenge 7 Knowledge Representation 8 Strong Method Problem Solving 9 Reasoning in Uncertain Situations Part IV: Machine Learning 10 Machine Learning: Symbol-Based 11 Machine Learning: Connectionist 12 Machine Learning: Social and Emergent Part V: Advanced Topics for AI Problem Solving 13 Automated Reasoning 14 Understanding Natural Language Part VI: Languages and Programming Techniques for Artificial Intelligence 15 An Introduction to PROLOG 16 An Introduction to LISP Part VII: Epilogue 17 Artificial Intelligence as Empirical Enquiry Bibliography Author Index Subject Index

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