Decision Making: Uncertainty, Imperfection, Deliberation and Scalability
Editors: Guy, Tatiana V., Karny, Miroslav, Wolpert, David (Eds.)
Free Preview- 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
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- About this book
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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.
- Table of contents (6 chapters)
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Bayesian Methods for Intelligent Task Assignment in Crowdsourcing Systems
Pages 1-32
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Designing Societies of Robots
Pages 33-53
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On the Origins of Imperfection and Apparent Non-rationality
Pages 55-89
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Lasso Granger Causal Models: Some Strategies and Their Efficiency for Gene Expression Regulatory Networks
Pages 91-117
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Cooperative Feature Selection in Personalized Medicine
Pages 119-144
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Table of contents (6 chapters)
- Download Preface 1 PDF (65.2 KB)
- Download Sample pages 2 PDF (656.4 KB)
- Download Table of contents PDF (142.4 KB)
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Bibliographic Information
- Bibliographic Information
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- Book Title
- Decision Making: Uncertainty, Imperfection, Deliberation and Scalability
- Editors
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- Tatiana V. Guy
- Miroslav Karny
- David Wolpert
- Series Title
- Studies in Computational Intelligence
- Series Volume
- 538
- Copyright
- 2015
- Publisher
- Springer International Publishing
- Copyright Holder
- Springer International Publishing Switzerland
- eBook ISBN
- 978-3-319-15144-1
- DOI
- 10.1007/978-3-319-15144-1
- Hardcover ISBN
- 978-3-319-15143-4
- Softcover ISBN
- 978-3-319-35020-2
- Series ISSN
- 1860-949X
- Edition Number
- 1
- Number of Pages
- XII, 184
- Number of Illustrations
- 28 b/w illustrations, 13 illustrations in colour
- Topics
