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Decision making = uncertainty, imper...

Guy, Tatiana V.

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Decision making = uncertainty, imperfection, deliberation and scalability /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Decision making/ edited by Tatiana V. Guy, Miroslav Kárný, David H. Wolpert.
其他題名:	uncertainty, imperfection, deliberation and scalability /
其他作者:	Guy, Tatiana V.
出版者:	Cham :Springer International Publishing : : 2015.,
面頁冊數:	xii, 184 p. :ill. (some col.), digital ;24 cm.
內容註:	Bayesian Methods for Intelligent Task Assignment in Crowdsourcing Systems -- Designing Societies of Robots -- On the Origins of Imperfection and Apparent Non-Rationality -- Lasso Granger Causal Models: Some Strategies and their Efficiency for Gene Expression Regulatory Networks -- Cooperative Feature Selection in Personalized Medicine -- Imperfect Decision Making and Risk Taking are affected by Personality.
Contained By:	Springer eBooks
標題:	Decision making. -
電子資源:	http://dx.doi.org/10.1007/978-3-319-15144-1
ISBN:	9783319151441 (electronic bk.)

Decision making = uncertainty, imperfection, deliberation and scalability /
Decision makinguncertainty, imperfection, deliberation and scalability /[electronic resource] :edited by Tatiana V. Guy, Miroslav Kárný, David H. Wolpert. - Cham :Springer International Publishing :2015. - xii, 184 p. :ill. (some col.), digital ;24 cm. - Studies in computational intelligence,v.5381860-949X ;. - Studies in computational intelligence ;v.379..

Bayesian Methods for Intelligent Task Assignment in Crowdsourcing Systems -- Designing Societies of Robots -- On the Origins of Imperfection and Apparent Non-Rationality -- Lasso Granger Causal Models: Some Strategies and their Efficiency for Gene Expression Regulatory Networks -- Cooperative Feature Selection in Personalized Medicine -- Imperfect Decision Making and Risk Taking are affected by Personality.

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.

ISBN: 9783319151441 (electronic bk.)

Standard No.: 10.1007/978-3-319-15144-1doiSubjects--Topical Terms:

517204
Decision making.

LC Class. No.: HD30.213

Dewey Class. No.: 658.403

Decision making = uncertainty, imperfection, deliberation and scalability /
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