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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.
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Decision Making: Uncertainty, Imperfection, Deliberation and Scalability (Studies in Computational Intelligence, 538)
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Decision Making : Uncertainty, Imperfection, Deliberation and Scalability
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Decision Making: Uncertainty, Imperfection, Deliberation and Scalability (Studies in Computational Intelligence, 538)
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Decision Making : Uncertainty, Imperfection, Deliberation and Scalability
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Springer, 2015
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Decision Making: Uncertainty, Imperfection, Deliberation and Scalability (Studies in Computational Intelligence, 538)
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Decision Making: Uncertainty, Imperfection, Deliberation and Scalability
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Springer International Publishing Mrz 2015, 2015
ISBN 10 : 3319151436
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 196 pp. Englisch. N° de réf. du vendeur 9783319151434
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Decision Making : Uncertainty, Imperfection, Deliberation and Scalability
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Decision Making: Uncertainty, Imperfection, Deliberation and Scalability
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Springer International Publishing, 2015
ISBN 10 : 3319151436
ISBN 13 : 9783319151434
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Recent research on Scalable Decision MakingEdited Results of the Scalable Decision Making workshop (SCALE) held September 23 2013 in Prague, Czech RepublicWritten by leading experts in the fieldThis volume focuses on uncovering t. N° de réf. du vendeur 18964350
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Decision Making : Uncertainty, Imperfection, Deliberation and Scalability
Edité par
Springer, 2015
ISBN 10 : 3319151436
ISBN 13 : 9783319151434
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Couverture rigide
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
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Decision Making: Uncertainty, Imperfection, Deliberation and Scalability
ISBN 10 : 3319151436
ISBN 13 : 9783319151434
Neuf
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Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
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Buch. Etat : Neu. Neuware -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, robotics, and economics, among other ¿elds.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 196 pp. Englisch. N° de réf. du vendeur 9783319151434
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