Chance Discoveries in Real World Decision Making

Data-based Interaction of Human Intelligence and Artificial Intelligence

  • Yukio Ohsawa
  • Shusaku Tsumoto

Part of the Studies in Computational Intelligence book series (SCI, volume 30)

Table of contents

  1. Front Matter
    Pages I-XIII
  2. Basis

    1. Front Matter
      Pages 1-1
    2. Calkin S. Montero, Kenji Araki
      Pages 37-46
  3. Computational

    1. Front Matter
      Pages 48-48
    2. H. M. Hubey
      Pages 49-68
    3. Kyung-Joong Kim, Sung-Bae Cho
      Pages 83-100
    4. Wenbo Zong, Edmund M-K. Lai, Chai Quek
      Pages 101-116
    5. T. Z. Tan, C. Quek, G. S. Ng
      Pages 117-134
  4. Communication

    1. Front Matter
      Pages 136-136
    2. Naohiro Matsumura
      Pages 137-154
    3. Yukio Ohsawa, Naohiro Matsumura, Koichi Takahashi
      Pages 155-165
  5. Cognitive

    1. Front Matter
      Pages 204-204
  6. Design and Marketing

    1. Front Matter
      Pages 252-252

About this book

Introduction

For this book, the editors invited and called for contributions from indispensable research areas relevant to "chance discovery," which has been defined as the discovery of events significant for making a decision, and studied since 2000. From respective research areas as artificial intelligence, mathematics, cognitive science, medical science, risk management, methodologies for design and communication, the invited and selected authors in this book present their particular approaches to chance discovery. The chapters here show contributions to identifying rare or hidden events and explaining their significance, predicting future trends, communications for scenario development in marketing and design, identification effects and side-effects of medicines, etc.

The methods presented in this book are based on the interaction of human, machine, and human's living environment, rather than based purely automated predictions of the future. This is a promising direction of computer-supported decision of human in a radically changing environment.

Keywords

artificial intelligence classification communication complexity data mining fuzzy intelligence learning mathematics model modeling neural networks perception uncertainty visualization

Editors and affiliations

  • Yukio Ohsawa
    • 1
  • Shusaku Tsumoto
    • 2
  1. 1.Graduate School of EngineeringThe University of TokyoTokyoJapan
  2. 2.Department of Medical Informatics: School of MedicineShimane UniversityIzumo-city, ShimaneJapan

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-540-34353-0
  • Copyright Information Springer Berlin Heidelberg 2006
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-540-34352-3
  • Online ISBN 978-3-540-34353-0
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • About this book