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Titlebook: Decision Making: Uncertainty, Imperfection, Deliberation and Scalability; Tatiana V. Guy,Miroslav Kárny,David H. Wolpert Book 2015 The Edi

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書目名稱Decision Making: Uncertainty, Imperfection, Deliberation and Scalability
編輯Tatiana V. Guy,Miroslav Kárny,David H. Wolpert
視頻videohttp://file.papertrans.cn/265/264252/264252.mp4
概述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.Inc
叢書名稱Studies in Computational Intelligence
圖書封面Titlebook: Decision Making: Uncertainty, Imperfection, Deliberation and Scalability;  Tatiana V. Guy,Miroslav Kárny,David H. Wolpert Book 2015 The Edi
描述.This volume focuses on uncovering the fundamental forces underlying dynamic decision making among multiple interacting, imperfect and sel?sh 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;.? ef?ciently 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, robotic
出版日期Book 2015
關(guān)鍵詞Computational Intelligence; Decision Making; Scalability; Scalable Decision Making; Uncertainty Imperfec
版次1
doihttps://doi.org/10.1007/978-3-319-15144-1
isbn_softcover978-3-319-35020-2
isbn_ebook978-3-319-15144-1Series ISSN 1860-949X Series E-ISSN 1860-9503
issn_series 1860-949X
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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Decision Making: Uncertainty, Imperfection, Deliberation and Scalability978-3-319-15144-1Series ISSN 1860-949X Series E-ISSN 1860-9503
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Datenbanken für Nichtinformatikerch provides a disagreement point and, implicitly, through minimum distance to such point. Cooperation is dealt with through a concept of maximal separation from the disagreement point. Mixtures of both problems are used to refer to in-between behavior. We illustrate the ideas with several experiments in relation with groups of robots.
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https://doi.org/10.1007/978-3-319-15144-1Computational Intelligence; Decision Making; Scalability; Scalable Decision Making; Uncertainty Imperfec
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Datenbanken für Nichtinformatikerch provides a disagreement point and, implicitly, through minimum distance to such point. Cooperation is dealt with through a concept of maximal separation from the disagreement point. Mixtures of both problems are used to refer to in-between behavior. We illustrate the ideas with several experiment
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