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Decision Making: Uncertainty, Imperfection, Deliberation and Scalability

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This volume focuses on uncovering the fundamental forces underlying dynamic decision making among multiple interacting, imperfect and selƠ̐ℓsh 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: ℓ́Ø task allocation to maximize ℓ́ℓthe wisdom of the crowdℓ́ℓ; ℓ́Ø design of a society of ℓ́ℓedutainmentℓ́ℓ robots who account for one anothersℓ́ℓ emotional states; ℓ́Ø recognizing and counteracting seemingly non-rational human decision making; ℓ́Ø coping with extreme scale when learning causality in networks; ℓ́Ø efƠ̐ℓciently incorporating expert knowledge in personalized medicine; ℓ́Ø 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

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Detail Information

Series Title

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Call Number

004.1

Publisher

Cham, Switzerland : Springer., 2015

Collation

xii, 184 pages

Language

English

ISBN/ISSN

9783319151441

Classification

004.1

Content Type

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Media Type

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Carrier Type

online resource

Edition

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Subject(s)

Artificial Intelligence

Specific Detail Info

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Statement of Responsibility

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Other Information

Cataloger

Kurnadi

Source

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