Handbook of Knowledge Representation

Handbook of Knowledge Representation

1st Edition - December 18, 2007

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  • Editors: Frank van Harmelen, Vladimir Lifschitz, Bruce Porter
  • Hardcover ISBN: 9780444522115
  • eBook ISBN: 9780080557021

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Handbook of Knowledge Representation describes the essential foundations of Knowledge Representation, which lies at the core of Artificial Intelligence (AI). The book provides an up-to-date review of twenty-five key topics in knowledge representation, written by the leaders of each field. It includes a tutorial background and cutting-edge developments, as well as applications of Knowledge Representation in a variety of AI systems. This handbook is organized into three parts. Part I deals with general methods in Knowledge Representation and reasoning and covers such topics as classical logic in Knowledge Representation; satisfiability solvers; description logics; constraint programming; conceptual graphs; nonmonotonic reasoning; model-based problem solving; and Bayesian networks. Part II focuses on classes of knowledge and specialized representations, with chapters on temporal representation and reasoning; spatial and physical reasoning; reasoning about knowledge and belief; temporal action logics; and nonmonotonic causal logic. Part III discusses Knowledge Representation in applications such as question answering; the semantic web; automated planning; cognitive robotics; multi-agent systems; and knowledge engineering. This book is an essential resource for graduate students, researchers, and practitioners in knowledge representation and AI.

Key Features

* Make your computer smarter
* Handle qualitative and uncertain information
* Improve computational tractability to solve your problems easily


Graduate students and researchers in knowledge representation, graduate students and researchers in artificial intelligence, practitioners in artificial intelligence

Table of Contents

  • Part I: General Methods in Knowledge Representation and Reasoning

    1. Knowledge Representation and Classical Logic
    2. Satisfiability Solvers
    3. Description Logics
    4. Constraint Programming
    5. Conceptual Graphs
    6. Nonmonotonic Reasoning
    7. Answer Sets
    8. Belief Revision
    9. Qualitative Modeling
    10. Model-Based Problem Solving
    11. Bayesian Networks

    Part II: Classes of Knowledge and Specialized Representations

    12. Temporal Representation and Reasoning
    13. Spatial Reasoning
    14. Physical Reasoning
    15. Reasoning about Knowledge and Belief
    16. Situation Calculus
    17. Event Calculus
    18. Temporal Action Logics
    19. Nonmonotonic Causal Logic Part III: Knowledge Representation in Applications
    20. Knowledge Representation and Question Answering
    21. The Semantic Web: Webizing Knowledge Representation
    22. Automated Planning
    23. Cognitive Robotics
    24. Multi-Agent Systems
    25. Knowledge Engineering

Product details

  • No. of pages: 1034
  • Language: English
  • Copyright: © Elsevier Science 2007
  • Published: December 18, 2007
  • Imprint: Elsevier Science
  • Hardcover ISBN: 9780444522115
  • eBook ISBN: 9780080557021

About the Editors

Frank van Harmelen

Affiliations and Expertise

Vrije Universiteit Amsterdam, The Netherlands

Vladimir Lifschitz

Affiliations and Expertise

University of Texas at Austin, USA

Bruce Porter

Affiliations and Expertise

University of Texas at Austin, USA

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