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The Knowledge Frontier

Essays in the Representation of Knowledge

  • Book
  • © 1987

Overview

Editors:
  1. Nick Cercone

    1. Computing Science Department, Simon Fraser University, Burnaby, Canada

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    You can also search for this editor in PubMed   Google Scholar

  2. Gordon McCalla

    1. Department of Computational Science, University of Saskatchewan, Saskatoon, Canada

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Symbolic Computation (SYMBOLIC)

Part of the book sub series: Artificial Intelligence (1064)

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Table of contents (17 chapters)

  1. Front Matter

    Pages i-xxxv
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  2. What Is Knowledge Representation?

    • Nick Cercone, Gordon McCalla
    Pages 1-43

  3. Knowledge Representation: What’s Important About It?

    • William A. Woods
    Pages 44-79

  4. Some Remarks on the Place of Logic in Knowledge Representation

    • David J. Israel
    Pages 80-91

  5. Logic and Natural Language

    • Bonnie Lynn Webber
    Pages 92-102

  6. Commonsense and Fuzzy Logic

    • L. A. Zadeh
    Pages 103-136

  7. Basic Properties of Knowledge Base Systems

    • W. Marek
    Pages 137-160

  8. First Order Logic and Knowledge Representation: Some Problems of Incomplete Systems

    • E. W. Elcock
    Pages 161-173

  9. Admissible State Semantics for Representational Systems

    • Jon Doyle
    Pages 174-186

  10. Accelerating Deductive Inference: Special Methods for Taxonomies, Colours and Times

    • Lenhart K. Schubert, Mary Angela Papalaskaris, Jay Taugher
    Pages 187-220

  11. Knowledge Organization and Its Role in Temporal and Causal Signal Understanding: The ALVEN and CAA Projects

    • John K. Tsotsos, Tetsutaro Shibahara
    Pages 221-261

  12. SNePS Considered as a Fully Intensional Propositional Semantic Network

    • Stuart C. Shapiro, William J. Rapaport
    Pages 262-315

  13. Representing Virtual Knowledge Through Logic Programming

    • Veronica Dahl
    Pages 316-330

  14. Theorist: A Logical Reasoning System for Defaults and Diagnosis

    • David Poole, Randy Goebel, Romas Aleliunas
    Pages 331-352

  15. Representing and Solving Temporal Planning Problems

    • R. James Firby, Drew McDermott
    Pages 353-413

  16. Analogical Modes of Reasoning and Process Modelling

    • Brian V. Funt
    Pages 414-428

  17. Representing and Using Knowledge of the Visual World

    • William Havens, Alan Mackworth
    Pages 429-450

  18. On Representational Aspects of VLSI- CADT Systems

    • Hassan Reghbati, Nick Cercone
    Pages 451-470

  19. Back Matter

    Pages 471-512
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Keywords

About this book

Knowledge representation is perhaps the most central problem confronting artificial intelligence. Expert systems need knowledge of their domain of expertise in order to function properly. Computer vlslOn systems need to know characteristics of what they are "seeing" in order to be able to fully interpret scenes. Natural language systems are invaluably aided by knowledge of the subject of the natural language discourse and knowledge of the participants in the discourse. Knowledge can guide learning systems towards better understanding and can aid problem solving systems in creating plans to solve various problems. Applications such as intelligent tutoring. computer-aided VLSI design. game playing. automatic programming. medical reasoning. diagnosis in various domains. and speech recogOltlOn. to name a few. are all currently experimenting with knowledge-based approaches. The problem of knowledge representation breaks down into several subsidiary problems including what knowledge to represent in a particular application. how to extract or create that knowledge. how to represent the knowledge efficiently and effectively. how to implement the knowledge representation scheme chosen. how to modify the knowledge in the face of a changing world. how to reason with the knowledge. and how tc use the knowledge appropriately in the creation of the application solution. This volume contains an elaboration of many of these basic issues from a variety of perspectives.

Editors and Affiliations

  • Computing Science Department, Simon Fraser University, Burnaby, Canada

    Nick Cercone

  • Department of Computational Science, University of Saskatchewan, Saskatoon, Canada

    Gordon McCalla

Bibliographic Information

  • Book Title: The Knowledge Frontier

  • Book Subtitle: Essays in the Representation of Knowledge

  • Editors: Nick Cercone, Gordon McCalla

  • Series Title: Symbolic Computation

  • DOI: https://doi.org/10.1007/978-1-4612-4792-0

  • Publisher: Springer New York, NY

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer-Verlag New York Inc. 1987

  • Hardcover ISBN: 978-0-387-96557-4Published: 05 October 1987

  • Softcover ISBN: 978-1-4612-9158-9Published: 23 September 2011

  • eBook ISBN: 978-1-4612-4792-0Published: 06 December 2012

  • Edition Number: 1

  • Number of Pages: XXXVI, 512

  • Topics: Artificial Intelligence

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