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Titlebook: Acting under Uncertainty; Multidisciplinary Co George M. Furstenberg Book 1990 Springer Science+Business Media Dordrecht 1990 calculus.deci

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期刊全称Acting under Uncertainty
期刊简称Multidisciplinary Co
影响因子2023George M. Furstenberg
视频video
学科分类Theory and Decision Library A:
图书封面Titlebook: Acting under Uncertainty; Multidisciplinary Co George M. Furstenberg Book 1990 Springer Science+Business Media Dordrecht 1990 calculus.deci
影响因子Uncertainty could be associated with wisdom, enterprise, and discovery. In ordinary speech, however, it has mostly negative connotations. There is "fear of the unknown" and "ignorance is bliss;" there are maxims to the effect that "what you don‘t know doesn‘t hurt you" (or: "bother you") in several languages. This volume suggests that we need be bothered by the excessive confidence with which scientists, particularly social scientists, present some of their conclusions and overstate their range of application. Otherwise many of the questions that should be raised about all the major uncertainties attending a particular issue routinely may continue to be thwarted or suppressed. Down playing uncertainty does not lead to more responsible or surer action, it sidetracks research agendas, and leaves the decision makers exposed to nasty surprise. This volume demonstrates that recognizing the many forms of uncertainty that enter into the development of any particular subject matter is a precondition for more responsible choice and deeper knowledge. Our purpose is to contribute to a broader appreciation of uncertainty than regularly accorded in any of the numerous disciplines represented he
Pindex Book 1990
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https://doi.org/10.1007/978-94-015-7873-8calculus; decision making; environment; modeling
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https://doi.org/10.1007/978-3-663-04247-1ledge is always far less certain than the statistical measures lead us to believe. The basis for this claim will be a review of the mutual relationship of the three concepts that are fundamental for all prediction.
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Versuche mit Stahlzellendecken, process—a learning scheme—whereby agents accumulate information. However, in models where learning is specified explicitly, a number of difficult and unsolved problems remain. This paper reviews these problems in detail, examining four recent models of agent learning according to a taxonomy of issues.
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Zum 80. Geburtstage von Carl Engler,roposed that uncertainty be regarded as essentially a subjective matter. Our first goal is to draw the teeth of the classical subjectivistic argument that one must be prepared to meet all bets on the basis of one’s “degrees of belief.” The Dutch book theorem, which purports to have this as a consequ
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