Hi, The following book is now available, according to the Web site of Springer: page: http://www.springer.de/cgi/svcat/search_book.pl?isbn=3-540-00549-8
This may be interesting for ones thinking about decision-making by a group/community of humans/agents, in the complex real world with uncertain but potentially significant changes. Best regards, Yukio Ohsawa, - Associate Professor, Graduate School of Business Sciences, University of Tsukuba - Researcher of PRESTO, Japan Science and Technology Corporation - ATR Intellient Robotics and Communication Laboratories Office: GSSM, University of Tsukuba, 3-29-1 Otsuka, Bunkyo-ku Tokyo 112-0012 Japan Fax: +81-3-3942-6829 E-mail: [EMAIL PROTECTED] http://www.gssm.otsuka.tsukuba.ac.jp/staff/osawa *** Book announcement *** Title: "Chance Discovery" 2003 Approx. 400 p. 120 illus. Hardcover 3-540-00549-8 Recommended Retail Price: EUR 89.95* Eds: Ohsawa, Y., University of Tsukuba, Tokyo, Japan; McBurney, P., University of Liverpool, UK Foreword: Professor Eric Von Hippel, Massachusetts Institute of Technology, USA Abstract: 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, group-ware, 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. Authors: Abe, A., Advanced Telecommunication Research Institute International(ATR), Japan; Bruza, P., DSTC, University of Queensland, Australia; Dietrich, E., Binghamton University, USA; Fukuda, H., CRC Solutions, Inc., Japan; Goldberg, D.E., Illinois University, USA; Jefferies, P., Oxford University, UK; Jensen, H.J., Imperial College, UK; Johnson, N.F., Oxford University, UK; Lamper, D., Oxford University, UK; Markman, A.B., University of Texas, USA; Matsumura, N., The University of Tokyo, Japan; Matsuo, Y., National Inst. Advanced Tech., Japan; McArthur, R., DSTC, University of Queensland, Australia; McBurney, P., University of Liverpool, UK; Mizuno, M., University of Tsukuba (Hakuhodo Inc.); Nara, Y., The University of the Air (Osaka Kyoiku University); Ohsawa, Y., University of Tsukuba (JST and ATR), Japan; Parsons, S., Brooklyn College, USA; Prendinger, H., The University of Tokyo, Japan; Sastry, K., Illinois University, USA; Shoji, H., Kawamura Gakuen University (The Univ. Tokyo), Japan; Stilwell, C.H., University of Texas, USA; Sumi, Y., Kyoto University (ATR), Japan; Sunayama, W., Osaka University, Japan; Takama, Y., Tokyo Metropolitan Inst. Tech., Japan; Winkley, M., Binghamton University, USA; Yoshikawa, F., Hiroshima Shudo University, Japan; Contents: Preface: The Scope of Chance Discovery. Part I: Chance Discovery in the Complex Real World: Modeling the Process of Chance Discovery; Decisions by Chances and on Chances; Prediction, Forecasting, and Chance Discovery; Self-Organizing Complex Systems; Anatomy of Rare Events in a Complex Adaptive System. Part II: Key 1 - Communications for Chance Discovery: Human-to-Human Communication for Chance Discovery in Business; Topic Diffusion in a Community; Dimensional Representations of Knowledge in Online Community; Discovery of Tacit Knowledge and Topical Ebbs and Flows; Agent Communications for Chance Discovery; Logics of Argumentation for Chance Discovery. Part III: Key 2 - Perceptions for Context-Shifting: Awareness and Imagination of Hidden Factors and Rare Events; Effects of Scenic Information; The Storification of Chances; The Prepared Mind: The Role of Representational Change in Chance Discovery; Abduction and Analogy in Chance Discovery. Part IV: Key 3 - Computer-Aided Chance Discoveries: Active Mining with Visual Human-Interface; Key Graph: Visualized Structure among Event Clusters; Discovering Deep Building Blocks for Competent Genetic Algorithms. Part V: Keys Combined to Applications: Enhancing Daily Conversations; Chance Discoveries from WWW; Detection of Earthquake Risks; Application to Questionnaire Analysis; Chance Discovery for Consumers; Application to Understanding Consumer's Latent Desires. Author Index, Subject Index.
