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Decision Making with Imperfect Decision Makers

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    0364848 RIV DE eng B - Monography
    Guy, Tatiana Valentine (ed.) - Kárný, Miroslav (ed.) - Wolpert, D. (ed.)
    Decision Making with Imperfect Decision Makers.
    Berlin: Springer, 2012. 210 s. Intelligent Systems Reference Library, Vol. 28. ISBN 978-3-642-24646-3
    R&D Projects: GA ČR GA102/08/0567
    Institutional research plan: CEZ:AV0Z10750506
    Keywords : Decision Making * Imperfect Decision Makers * Intelligent Systems
    Subject RIV: BC - Control Systems Theory

    Prescriptive Bayesian decision making has reached a high level of maturity and is well-supported algorithmically. However, experimental data shows that real decision makers choose such Bayes-optimal decisions surprisingly infrequently, often making decisions that are badly sub-optimal. So prevalent is such imperfect decision-making that it should be accepted as an inherent feature of real decision makers living within interacting societies. To date such societies have been investigated from an economic and gametheoretic perspective, and even to a degree from a physics perspective. However, little research has been done from the perspective of computer science and associated disciplines like machine learning, information theory and neuroscience. This book is a major contribution to such research.
    Permanent Link: http://hdl.handle.net/11104/0200224

     
     
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