Artificial intelligence :
Luger, George F.
Artificial intelligence : structures and strategies for complex problem solving / George F. Luger. - 5th ed. - New Delhi : Pearson Education, 2009 - xxiii, 903 p. ill. ; 24 cm.
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
9788131723272 (pbk)
Artificial intelligence.
Knowledge representation (Information theory)
Problem solving.
Prolog (Computer program language)
LISP (Computer program language)
006.3 / L9512
Artificial intelligence : structures and strategies for complex problem solving / George F. Luger. - 5th ed. - New Delhi : Pearson Education, 2009 - xxiii, 903 p. ill. ; 24 cm.
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
9788131723272 (pbk)
Artificial intelligence.
Knowledge representation (Information theory)
Problem solving.
Prolog (Computer program language)
LISP (Computer program language)
006.3 / L9512
