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Titlebook: Decision Economics. Designs, Models, and Techniquesfor Boundedly Rational Decisions; Edgardo Bucciarelli,Shu-Heng Chen,Juan Manuel Corc Co

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發(fā)表于 2025-3-21 16:35:42 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Decision Economics. Designs, Models, and Techniquesfor Boundedly Rational Decisions
編輯Edgardo Bucciarelli,Shu-Heng Chen,Juan Manuel Corc
視頻videohttp://file.papertrans.cn/265/264189/264189.mp4
概述Presents the latest research on decision economics, distributed computing, and artificial intelligence.Includes the outcomes of the 15th International Conference on Distributed Computing and Artificia
叢書名稱Advances in Intelligent Systems and Computing
圖書封面Titlebook: Decision Economics. Designs, Models, and Techniquesfor Boundedly Rational Decisions;  Edgardo Bucciarelli,Shu-Heng Chen,Juan Manuel Corc Co
描述.The special session on Decision Economics (DECON) is a scientific forum held annually, which is focused on sharing ideas, projects, research results, models, and experiences associated with the complexity of behavioural decision processes and socio‐economic phenomena. In 2018, DECON was held at Campus Tecnológico de la Fábrica de Armas, University of Castilla-La Mancha, Toledo, Spain, as part of the 15th International Conference on Distributed Computing and Artificial Intelligence...?For the third consecutive year, this book have drawn inspiration from Herbert A. Simon’s interdisciplinary legacy and, in particular, is devoted to designs, models, and techniques for boundedly rational decisions, involving several fields of study and expertise. It is worth noting that the recognition of relevant decision‐making takes place in a range of critical subject areas and research fields, including economics, finance, information systems, small and international business management, operations, and production. Therefore, decision‐making issues are of fundamental importance in all branches of economics addressed with different methodological approaches...As a matter of fact, the study of decis
出版日期Conference proceedings 2019
關鍵詞Intelligent Computing; Distributed Computing; Decision Economics; Computational Intelligence; Artificial
版次1
doihttps://doi.org/10.1007/978-3-319-99698-1
isbn_softcover978-3-319-99697-4
isbn_ebook978-3-319-99698-1Series ISSN 2194-5357 Series E-ISSN 2194-5365
issn_series 2194-5357
copyrightSpringer Nature Switzerland AG 2019
The information of publication is updating

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A Statistical Tool as a Decision Support in Enterprise Financial Crisis, introduce a new formula that we call M-Index indicator, and then provide an empirical analysis through a sample of Italian listed companies collected from the Milan Stock Exchange in the period 2003–2012. The results of the empirical analysis validate the predictive accuracy power of our indicator.
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Conference proceedings 2019 models, and experiences associated with the complexity of behavioural decision processes and socio‐economic phenomena. In 2018, DECON was held at Campus Tecnológico de la Fábrica de Armas, University of Castilla-La Mancha, Toledo, Spain, as part of the 15th International Conference on Distributed C
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The Logistic Map: An AI Tool for Economists Investigating Complexity and Suggesting Policy Decisioncond, the logistic map can be considered as an AI tool for policy makers in order to deduce the analytical conditions that ensure the economic system to be sufficiently far away from chaos and uncontrollability.
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,Subgroup Optimal Decisions in Cost–Effectiveness Analysis, values, for instance age, gender, etc. Some of the covariates are non necessarily influential, as typically occurs in regression analysis, and an statistical variable selection procedure is called for. A Bayesian variable selection procedure is presented, and optimal treatments for subgroups defined by the selected covariates are then found.
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