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Decision Making: Uncertainty, Imperfection, Deliberation and Scalability: 538 (Studies in Computational Intelligence) - Tapa blanda
Sinopsis
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.
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De la contraportada
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.
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Decision Making: Uncertainty, Imperfection, Deliberation and Scalability
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Springer International Publishing, 2016
ISBN 10: 331935020X
ISBN 13: 9783319350202
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Condición: 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. Nº de ref. del artículo: 448746503
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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 Okt 2016, 2016
ISBN 10: 331935020X
ISBN 13: 9783319350202
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Taschenbuch. Condición: 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. Nº de ref. del artículo: 9783319350202
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Decision Making: Uncertainty, Imperfection, Deliberation and Scalability
Publicado por
Springer International Publishing, 2016
ISBN 10: 331935020X
ISBN 13: 9783319350202
Nuevo
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Librería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Nº de ref. del artículo: 9783319350202
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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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Decision Making: Uncertainty, Imperfection, Deliberation and Scalability
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Springer International Publishing, Springer International Publishing Okt 2016, 2016
ISBN 10: 331935020X
ISBN 13: 9783319350202
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
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Taschenbuch. Condición: 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. Nº de ref. del artículo: 9783319350202
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Decision Making: Uncertainty, Imperfection, Deliberation and Scalability (Studies in Computational Intelligence)
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Decision Making: Uncertainty, Imperfection, Deliberation and Scalability (Studies in Computational Intelligence)
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Decision Making: Uncertainty, Imperfection, Deliberation and Scalability (Studies in Computational Intelligence)
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