Chance Discoveries in Real World Decision Making: Data-based Interaction of Human Intelligence and Artificial Intelligence

✍ Scribed by Prof. Dr. Yukio Ohsawa (auth.), Prof. Dr. Yukio Ohsawa, Prof. Dr. Shusaku Tsumoto (eds.)

• Publisher: Springer-Verlag Berlin Heidelberg
• Year: 2006
• Tongue: English
• Leaves: 401
• Series: Studies in Computational Intelligence 30
• Edition: 1
• Category: Library

✦ Synopsis

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.

✦ Table of Contents

Front Matter....Pages I-XIII
Front Matter....Pages 1-1
Chance Discovery: The Current States of Art....Pages 3-20
The Structure of Scenario Communication and Chance Discovery....Pages 21-36
Complexity in the Discovery of Chance: Daily Life Criticality....Pages 37-46
Front Matter....Pages 48-48
Chance Discovery....Pages 49-68
Scenario Maps on Situational Switch Model, Applied to Blood-Test Data for Hepatitis C Patients....Pages 69-81
Uncertainty Reasoning and Chance Discovery....Pages 83-100
Digital Modulation Classification using Fuzzy Neural Networks....Pages 101-116
Chance Discovery using Complementary Learning Fuzzy Neural Network....Pages 117-134
Front Matter....Pages 136-136
Modeling Influence Diffusion in Human Society....Pages 137-154
Resonance without Response: The Way of Topic Growth in Communications....Pages 155-165
Scenario to Data Mapping Algorithm and Its Application to Chance Discovery Process Support....Pages 167-182
Smart Discussion Environment on a Bulletin Board System....Pages 183-201
Front Matter....Pages 204-204
Prefiguring Ethical Chances: The Role of Moral Mediators....Pages 205-229
A NeuroCognitive Approach to Decision-Making in Chance Discovery....Pages 231-250
Front Matter....Pages 252-252
Creative Marketing as Application of Chance Discovery....Pages 253-271
Extracting High Quality Scenario for Consensus on Specifications of New Products....Pages 273-285
Is there a Needle in the Haystack?....Pages 287-314
A Requirement Acquisition Process as an Evolved Chance Discovery....Pages 315-328
ConExSIR: A Dialogue-based Framework of Design Team Thinking and Discovery....Pages 329-344
Front Matter....Pages 346-346
Chance Discovery in Credit Risk Management - Estimation of Chain Reaction Bankruptcy Structure by Chance Discovery Method....Pages 347-355
Front Matter....Pages 346-346
E-Nightingale: Crisis Detection in Nursing Activities....Pages 357-371
Understanding of Dark Events for Harnessing Risk....Pages 373-392
Mining Hospital Management Data using R....Pages 393-404

✦ Subjects

Appl.Mathematics/Computational Methods of Engineering; Artificial Intelligence (incl. Robotics)