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Titlebook: Decision Making with Imperfect Decision Makers; Tatiana Valentine Guy,Miroslav Kárny,David H. Wolp Book 2012 Springer Berlin Heidelberg 20

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書(shū)目名稱(chēng)Decision Making with Imperfect Decision Makers
編輯Tatiana Valentine Guy,Miroslav Kárny,David H. Wolp
視頻videohttp://file.papertrans.cn/265/264242/264242.mp4
概述Why and how can imperfection be coped with in real life.Proposes possible ways to approaches suitable to addressing design of decision strategies for and by imperfect designers and decision makers.Edi
叢書(shū)名稱(chēng)Intelligent Systems Reference Library
圖書(shū)封面Titlebook: Decision Making with Imperfect Decision Makers;  Tatiana Valentine Guy,Miroslav Kárny,David H. Wolp Book 2012 Springer Berlin Heidelberg 20
描述.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..Some of the particular topics addressed include: How should we formalise rational decision making of a single imperfect decision maker? ?Does the answer change for a system of imperfect decision makers? ?Can we extend existing prescriptive theories for perfect decision makers to make them useful for imperfect ones? How can we exploit the relation of these problems to the control under vary
出版日期Book 2012
關(guān)鍵詞Decision Making; Imperfect Decision Makers; Intelligent Systems
版次1
doihttps://doi.org/10.1007/978-3-642-24647-0
isbn_softcover978-3-662-50700-1
isbn_ebook978-3-642-24647-0Series ISSN 1868-4394 Series E-ISSN 1868-4408
issn_series 1868-4394
copyrightSpringer Berlin Heidelberg 2012
The information of publication is updating

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Databases and Information Systemsas fairness, reciprocity, and adaptation to social norms. We investigate the stability of maintaining a society of “fair” agents under these conditions. Finally, we discuss experimental data from initial human trials of the Social Ultimatum Game.
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The Social Ultimatum Game,as fairness, reciprocity, and adaptation to social norms. We investigate the stability of maintaining a society of “fair” agents under these conditions. Finally, we discuss experimental data from initial human trials of the Social Ultimatum Game.
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Databases Theory and Applicationsl as sharing of individual, possibly fragmental, knowledge and preferences among imperfect participants. The approach helps to overcome the non-realistic assumption on participants’ unlimited abilities.
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On Support of Imperfect Bayesian Participants,l as sharing of individual, possibly fragmental, knowledge and preferences among imperfect participants. The approach helps to overcome the non-realistic assumption on participants’ unlimited abilities.
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Jolanta Miliauskait?,Diana Kalibatieneled justification for stochastic (soft) policies. We use computational learning theory to show that these optimal policies are also robust to uncertainties in settings with only partial knowledge of the MDP parameters.
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