Chance Discovery as Analogy Based Value Sensing

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Author(s): Yukio Ohsawa (The University of Tokyo, Tokyo, Japan), Akinori Abe (ATR Knowledge Science Laboratories, Japan)and Jun Nakamura (The University of Tokyo, Tokyo, Japan)
Copyright: 2012
Pages: 14
Source title: Intelligent and Knowledge-Based Computing for Business and Organizational Advancements
Source Author(s)/Editor(s): Hideyasu Sasaki (Chinese University of Hong Kong, Hong Kong), Dickson K.W. Chiu (The University of Hong Kong, Hong Kong), Epaminondas Kapetanios (University of Westminster, UK), Patrick C.K. Hung (University of Ontario Institute of Technology, Canada), Frederic Andres (National Institute of Informatics, Japan), Ho-fung Leung (The Chinese University of Hong Kong, Hong Kong)and Richard Chbeir (Bourgogne University, LE2I CNRS, France)
DOI: 10.4018/978-1-4666-1577-9.ch003

Keywords: Artificial Intelligence / Collective Intelligence / Computer Science & IT / Information Science Reference

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Abstract

The authors are finding rising demands for sensing values in existing/new events and items in the real life. Chance discovery, focusing on new events significant for human decision making, can be positioned extensively as an approach to value sensing. This extension enables the innovation of various artificial systems, where human’s talent of analogical thinking comes to be the basic engine. Games for training and activating this talent are introduced, and it is clarified that these games train the an essential talent of human for chance discovery, by discussing the experimental results of these games on the logical framework of analogical abductive reasoning.

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