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Artificial intelligence : a modern approach / Stuart J. Russell and Peter Norvig ; contributing writers John F. Canny ... [et al.].

By: Contributor(s): Material type: TextTextSeries: Prentice Hall series in artificial intelligence | Prentice Hall series in artificial intelligencePublication details: Upper Saddle River, N.J. : Prentice Hall, c2003.Edition: 2nd edDescription: xxviii, 1080 p. : ill. ; 26 cmISBN:
  • 9780130803023 (pbk.) :
  • 0130803022(pbk.) :
Subject(s): DDC classification:
  • 006.3 RUS
  • 006.3 21
Contents:
1.Introduction -- 2.Intelligent agents -- 3.Solving problems by searching -- 4.Informed search and exploration -- 5.Constraint satisfaction problems -- 6.Adversarial search -- 7.Logical agents -- 8.First-order logic -- 9.Inference in first-order logic -- 10.Knowledge representation -- 11.Planning -- 12.Planninga nd acting in the real world -- 13.Uncertainty -- 14.Probabilistic reasoning -- 15.Planning and acting in the real world -- 16.Making simple decisions -- 17.Making complex decisions -- 18.Learning from observations -- 19.Knowledge in learning -- 20.Statistics learning methods -- 21.Reinforcement learning -- 22.Communication -- 23.Probabilistic language processing -- 24.Perception -- 25.Robotics -- 26.Philosophical foundations -- 27.AI:Present and future.
Summary: In the second edition, significant new material has been introduced to cover areas such as constraint satisfaction, fast propositional inference, planning graphs, Internet agents, exact probabilistic inference, ensemble learning methods, statistical learning and ethical aspects of AI.
Holdings
Item type Current library Call number Copy number Status Date due Barcode
Long Loan TUS: Midlands, Main Library Athlone General Lending 006.3 RUS (Browse shelf(Opens below)) 1 Available 121630

Previous ed.: 1995.

Includes bibliographical references (p. 987-1043) and index.

1.Introduction -- 2.Intelligent agents -- 3.Solving problems by searching -- 4.Informed search and exploration -- 5.Constraint satisfaction problems -- 6.Adversarial search -- 7.Logical agents -- 8.First-order logic -- 9.Inference in first-order logic -- 10.Knowledge representation -- 11.Planning -- 12.Planninga nd acting in the real world -- 13.Uncertainty -- 14.Probabilistic reasoning -- 15.Planning and acting in the real world -- 16.Making simple decisions -- 17.Making complex decisions -- 18.Learning from observations -- 19.Knowledge in learning -- 20.Statistics learning methods -- 21.Reinforcement learning -- 22.Communication -- 23.Probabilistic language processing -- 24.Perception -- 25.Robotics -- 26.Philosophical foundations -- 27.AI:Present and future.

In the second edition, significant new material has been introduced to cover areas such as constraint satisfaction, fast propositional inference, planning graphs, Internet agents, exact probabilistic inference, ensemble learning methods, statistical learning and ethical aspects of AI.

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