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Titlebook: Network Games; Ishai Menache,Asuman Ozdaglar Book 2011 Springer Nature Switzerland AG 2011

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发表于 2025-3-21 18:34:10 | 显示全部楼层 |阅读模式
书目名称Network Games
编辑Ishai Menache,Asuman Ozdaglar
视频video
丛书名称Synthesis Lectures on Learning, Networks, and Algorithms
图书封面Titlebook: Network Games;  Ishai Menache,Asuman Ozdaglar Book 2011 Springer Nature Switzerland AG 2011
描述Traditional network optimization focuses on a single control objective in a network populated by obedient users and limited dispersion of information. However, most of today‘s networks are large-scale with lack of access to centralized information, consist of users with diverse requirements, and are subject to dynamic changes. These factors naturally motivate a new distributed control paradigm, where the network infrastructure is kept simple and the network control functions are delegated to individual agents which make their decisions independently ("selfishly"). The interaction of multiple independent decision-makers necessitates the use of game theory, including economic notions related to markets and incentives.This monograph studies game theoretic models of resource allocation among selfish agents in networks. The first part of the monograph introduces fundamental game theoretic topics. Emphasis is given to the analysis of dynamics in game theoretic situations, which is crucial for design and control of networked systems. The second part of the monograph applies the game theoretic tools for the analysis of resource allocation in communication networks. We set up a general mode
出版日期Book 2011
版次1
doihttps://doi.org/10.1007/978-3-031-79248-9
isbn_softcover978-3-031-79247-2
isbn_ebook978-3-031-79248-9Series ISSN 2690-4306 Series E-ISSN 2690-4314
issn_series 2690-4306
copyrightSpringer Nature Switzerland AG 2011
The information of publication is updating

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Game Theory Dynamicsll, simultaneously. This chapter presents two complementary ways for introducing dynamic analysis in competitive situations. First, we study extensive form (dynamic) games, which are used to model dynamic decision making in multi–agent environments. Second, we analyze dynamics induced by the repeate
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chteile einer aktiven Beeinflussung des Klimas oder gar des .Nanotechnologie, synthetische Biologie, Wiedererweckung ausgestorbener Arten und Geoengineering – werden Menschen die Natur in Zukunft mit solchen Methoden grundlegend umgestalten? Man könnte es sich vorstellen..Auf der Erde gibt es keinen
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Ishai Menache,Asuman Ozdaglarhms face various challenges like, balance between exploration and exploitation, tuning of parameters, getting trapped in local optima, and very slow convergence rate. Sine cosine algorithm (SCA) also faces similar kinds of challenges and sometimes fails to perform effectively in finding the global o
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e objectives in an optimization problem makes the problem challenging because most of the time these objectives are conflicting in nature. For example, we may want to maximize the return on investment of a portfolio and, on the other hand, minimize the risk associated with the assets in the portfoli
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Ishai Menache,Asuman Ozdaglarts to illustrate potential therapeutic approaches.Sine syndromes (SSs) represent atypical forms of inflammatory rheumatic diseases, the courses of which are often severe. While the diagnosis of rheumatic diseases can be determined according to an established set of diagnostic criteria based on clini
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