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  3. Knowledge Representation, Reasoning and Declarative Problem Solving
  • Cited by 663
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    • Publisher:
      Cambridge University Press
      Publication date:
      August 2009
      January 2003
      ISBN:
      9780511543357
      9780521818025
      9780521147750
      DOI:
      https://doi.org/10.1017/CBO9780511543357
      Dimensions:
      (247 x 174 mm)
      Weight & Pages:
      1.222kg, 546 Pages
      Dimensions:
      (244 x 170 mm)
      Weight & Pages:
      0.86kg, 548 Pages
      • Subjects:
      Computer Science, Programming Languages and Applied Logic, Artificial Intelligence and Natural Language Processing
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    Subjects:
    Computer Science, Programming Languages and Applied Logic, Artificial Intelligence and Natural Language Processing
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    Book description

    Knowledge management and knowledge-based intelligence are areas of importance in the economy and society, and to exploit them fully and efficiently it is necessary both to represent and reason about knowledge via a declarative interface whose input language is based on logic. In this book, originally published in 2003, Chitta Baral shows exactly how to go about doing that: how to write programs that behave intelligently by giving them the ability to express knowledge and reason about it. He presents a language, AnsProlog, for both knowledge representation and reasoning, and declarative problem solving. The results have been organised here into a form that will appeal to practising and would-be knowledge engineers wishing to learn more about the subject, either in courses or through self-teaching. A comprehensive bibliography rounds off the book.

    Reviews

    Review of the hardback:‘I wholeheartedly recommend this book to researchers and students in the fields of logic programming, declarative programming and knowledge representation.’

    Source: Journal of Transport, Law and Policy

    Review of the hardback:‘… the appearance of an extensive book with such a deep theoretical content and with analyses, methods and examples useful for practical applications is admirable after the very short history of Answer Set Programming.‘

    Source: Zentralblatt MATH

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