Overview
- Recent research on Scalable Decision Making
- Edited Results of the Scalable Decision Making workshop (SCALE) held September 23 2013 in Prague, Czech Republic
- Written by leading experts in the field
- Includes supplementary material: sn.pub/extras
Part of the book series: Studies in Computational Intelligence (SCI, volume 538)
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Table of contents (6 chapters)
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Front Matter
Keywords
About this book
This volume focuses on uncovering the fundamental forces underlying dynamic decision making among multiple interacting, imperfect and selfish decision makers.
The chapters are written by leading experts from different disciplines, all considering the many sources of imperfection in decision making, and always with an eye to decreasing the myriad discrepancies between theory and real world human decision making.
Topics addressed include uncertainty, deliberation cost and the complexity arising from the inherent large computational scale of decision making in these systems.
In particular, analyses and experiments are presented which concern:
• task allocation to maximize “the wisdom of the crowd”;
• design of a society of “edutainment” robots who account for one anothers’ emotional states;
• recognizing and counteracting seemingly non-rational human decision making;
• coping with extreme scale when learning causality in networks;
• efficiently incorporating expert knowledge in personalized medicine;
• the effects of personality on risky decision making.
The volume is a valuable source for researchers, graduate students and practitioners in machine learning, stochastic control, robotics, and economics, among other fields.
Editors and Affiliations
Bibliographic Information
Book Title: Decision Making: Uncertainty, Imperfection, Deliberation and Scalability
Editors: Tatiana V. Guy, Miroslav Kárný, David H. Wolpert
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-319-15144-1
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2015
Hardcover ISBN: 978-3-319-15143-4Published: 09 March 2015
Softcover ISBN: 978-3-319-35020-2Published: 05 October 2016
eBook ISBN: 978-3-319-15144-1Published: 09 February 2015
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: XII, 184
Number of Illustrations: 28 b/w illustrations, 13 illustrations in colour