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Titlebook: Models and Experiments in Risk and Rationality; Bertrand Munier,Mark J. Machina Book 1994 Springer Science+Business Media Dordrecht 1994 c

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書目名稱Models and Experiments in Risk and Rationality
編輯Bertrand Munier,Mark J. Machina
視頻videohttp://file.papertrans.cn/637/636739/636739.mp4
叢書名稱Theory and Decision Library B
圖書封面Titlebook: Models and Experiments in Risk and Rationality;  Bertrand Munier,Mark J. Machina Book 1994 Springer Science+Business Media Dordrecht 1994 c
描述.Models and Experiments in Risk and Rationality. presentsoriginal contributions to the areas of individual choice, experimentaleconomics, operations and analysis, multiple criteria decision making,market uncertainty, game theory and social choice. The papers, whichwere presented at the FUR VI conference, are arranged to appear inorder of increasing complexity of the decision environment or socialcontext in which they situate themselves. .The first section `Psychological Aspects of Risk-Bearing‘, considerschoice at the purely individual level and for the most part, free ofany specific economic or social context. The second section examinesindividual choice within the classical expected utility approach whilethe third section works from a perspective that includes non-expectedutility preferences over lotteries. Section four, `Multiple CriteriaDecision-Making Under Uncertainty‘, considers the more specialized butcrucial context of uncertain choice involving tradeoffs betweencompeting criteria -- a field which is becoming of increasingimportance in applied decision analysis. The final two sectionsexamine uncertain choice in social or group contexts. .
出版日期Book 1994
關鍵詞calculus; cooperative games; decision analysis; decision making; game theory; production; social choice; ut
版次1
doihttps://doi.org/10.1007/978-94-017-2298-8
isbn_softcover978-90-481-4447-1
isbn_ebook978-94-017-2298-8
copyrightSpringer Science+Business Media Dordrecht 1994
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Scheduling Efficiently for Irregular Load Distributions in a Large-scale Clusterghua EastSun cluster and show that TRS is a highly efficient scheduling algorithm for irregular load distributions in a large-scale cluster. Finally, TRS is implemented in the Jcluster environment, a high performance Java parallel environment, and an experiment result is given in the HKU Gideon 300 cluster.
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