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Gilboa and Schmeidler provide a 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.
Quantitative methods (economics) --- Decision Making --- Mathematical models --- 519.226 --- 65.012.4 --- Inference and decision theory. Likelihood. Bayesian theory. Fiducial probability --- Management. Directorate. Technique and methods of management --- Decision making. --- Decision making - Mathematical models. --- Decision making --- Management Theory --- Management --- Business & Economics --- Business, Economy and Management --- Economics --- 65.012.4 Management. Directorate. Technique and methods of management --- 519.226 Inference and decision theory. Likelihood. Bayesian theory. Fiducial probability --- Mathematical models. --- Decision Making - Mathematical models
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This volume brings together important papers, coupled with new introductions, in the massively influential area of uncertainty in economic theory. Seminal papers are available together for the first time in book format, with new introductions and under the steely editorship of Itzhak Gilboa - this book is a useful reference tool for economists all over the globe.
Uncertainty --- Decision making --- Risk management --- Choice (Psychology) --- Mathematical models. --- Psychology
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Sociology of policy --- Sociology of organization --- Welfare economics --- Distributive justice --- Addresses, essays, lectures --- Pazner, Elisha, 1941-1979 --- 330.1 --- 330.564 --- Economic policy --- Economics --- Social policy --- Distribution (Economic theory) --- Justice --- Social justice --- Wealth --- Economische grondbegrippen. Algemene begrippen in de economie --- Verdeling van nationaal inkomen. Inkomensverdeling --- Moral and ethical aspects --- Pazner, Elisha --- Festschrift - Libri Amicorum --- 330.564 Verdeling van nationaal inkomen. Inkomensverdeling --- 330.1 Economische grondbegrippen. Algemene begrippen in de economie --- Pazner, Elisha, --- Patsner, Elisha, --- Welfare economics - Addresses, essays, lectures --- Distributive justice - Addresses, essays, lectures
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This title describes formal models of reasoning that are aimed at capturing the way that economic agents and decision makers in general think about their environment and make predictions based on their past experience. The focus is on analogies (case-based reasoning) and general theories (rule-based reasoning), and on the interaction between them, as well as between them and Bayesian reasoning. A unified approach allows us to study the dynamics of inductive reasoning in terms of the mode of reasoning that is used to generate predictions.
Economics --- Reasoning --- Psychological aspects. --- Mathematical models.
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