A Theory of Case-Based Decisions 行動経済学必読書 美品!! FreeshippingIconBuynowIconEasyPaymentIcon

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    • 開始時間2025-12-30 15:03:53 (台灣時間)
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    • 結束時間2026-01-06 15:03:53 (台灣時間)
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      2000 円
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    内容説明

    Gilboa and Schmeidler provide a new paradigm for modelling decision making under uncertainty. Unlike the classical theory of expected utility maximization, case-based decision theory does not assume that decision makers know the possible ‘states of the world’ or the outcomes, let alone the decision matrix attaching outcomes to act-state pairs. Case-based decision theory suggests that people make decisions by analogies to past cases: they tend to choose acts that performed well in the past in similar situations, and to avoid acts that performed poorly. It is an alternative to expected utility theory when both states of the world and probabilities are neither given in the problem nor can be easily constructed. The authors describe the general theory and its relationship to planning, repeated choice problems, inductive inference, and learning; they highlight its mathematical and philosophical foundations and compare it with expected utility theory as well as with rule-based systems.


    Book Description

    Gilboa and Schmeidler provide a new paradigm for modeling decision making under uncertainty. Case-based decision theory suggests that people make decisions by analogies to past cases: they tend to choose acts that performed well in the past in similar situations, and to avoid acts that performed poorly. The authors describe the general theory and its relationship to planning, repeated choice problems, inductive inference, and learning. They highlight its mathematical and philosophical foundations and compare it to expected utility theory as well as to rule-based systems.
     
    ★Cambridge University Press 2001年発行。
     
    ★Double-booking してしまったため、未読ほぼ新品です(米国からの郵送による表紙のスレ多少あり)。
     
     
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      (此參考翻譯(中文)功能是由Google翻譯所提供,代購幫不保證翻譯內容之正確性)

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