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Chance Discovery

  • Book
  • © 2003

Overview

Editors:
  1. Yukio Ohsawa

    1. Graduate School of Business Sciences, University of Tsukuba, GSSM, University of Tsukuba, Bunkyo-ku, Tokyo, Japan

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  2. Peter McBurney

    1. Agent Applications, Research and Technology (Agent ART) Group, Department of Computer Science, University of Liverpool, Liverpool, UK

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    You can also search for this editor in PubMed   Google Scholar

  • Very first book in a new research area
  • Offers both theoretical background and real-world applications
  • Author Ohsawa is "founder" of this research area
  • Includes supplementary material: sn.pub/extras

Part of the book series: Advanced Information Processing (AIP)

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Table of contents (25 chapters)

  1. Front Matter

    Pages I-XXI
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  2. Chance Discovery in the Complex Real World

    1. Front Matter

      Pages 1-1
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    2. Modeling the Process of Chance Discovery

      • Yukio Ohsawa
      Pages 2-15

    3. Decisions by Chance and on Chance: Meanings of Chance in Recent News Stories

      • Fumiko Yoshikawa
      Pages 16-29

    4. Prediction, Forecasting, and Chance Discovery

      • Yutaka Matsuo
      Pages 30-43

    5. Self-organizing Complex Systems

      • Henrik Jeldtoft Jensen
      Pages 44-61

    6. Anatomy of Rare Events in a Complex Adaptive System

      • Paul Jefferies, David Lamper, Neil F. Johnson
      Pages 62-70

  3. Key 1 — Communications for Chance Discovery

    1. Front Matter

      Pages 71-71
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    2. Human-to-Human Communication for Chance Discovery in Business

      • Hiroko Shoji
      Pages 72-83

    3. Topic Diffusion in a Community

      • Naohiro Matsumura
      Pages 84-97

    4. Dimensional Representations of Knowledge in an Online Community

      • Robert McArthur, Peter Bruza
      Pages 98-114

    5. Discovery of Tacit Knowledge and Topical Ebbs and Flows Within the Utterances of an Online Community

      • Robert McArthur, Peter Bruza
      Pages 115-132

    6. Agent Communications for Chance Discovery

      • Peter McBurney, Simon Parsons
      Pages 133-149

    7. Logics of Argumentation for Chance Discovery

      • Simon Parsons, Peter McBurney
      Pages 150-167

  4. Key 2 — Perceptions for Context Shifting

    1. Front Matter

      Pages 169-169
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    2. Awareness and Imagination of Hidden Factors and Rare Events

      • Yasufumi Takama
      Pages 170-183

    3. Effects of Scenic Information

      • Yasufumi Takama, Yukio Ohsawa
      Pages 184-188

    4. The Storification of Chances

      • Helmut Prendinger, Mitsuru Ishizuka
      Pages 189-207

    5. The Prepared Mind: the Role of Representational Change in Chance Discovery

      • Eric Dietrich, Arthur B. Markman, C. Hunt Stilwell, Michael Winkley
      Pages 208-230

    6. Abduction and Analogy in Chance Discovery

      • Akinori Abe
      Pages 231-248
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Keywords

About this book

Chance discovery means discovering chances - the breaking points in systems, the marketing windows in business, etc. It involves determining the significance of some piece of information about an event and then using this new knowledge in decision making. The techniques developed combine data mining methods for finding rare but important events with knowledge management, groupware, and social psychology. The reader will find many applications, such as finding information on the Internet, recognizing changes in customer behavior, detecting the first signs of an imminent earthquake, etc.

This first book dedicated to chance discovery covers the state of the art in the theory and methods and examines typical scenarios, and it thus appeals to researchers working on new techniques and algorithms and also to professionals dealing with real-world applications.

Editors and Affiliations

  • Graduate School of Business Sciences, University of Tsukuba, GSSM, University of Tsukuba, Bunkyo-ku, Tokyo, Japan

    Yukio Ohsawa

  • Agent Applications, Research and Technology (Agent ART) Group, Department of Computer Science, University of Liverpool, Liverpool, UK

    Peter McBurney

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