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Titlebook: Game Theory for Networks; 7th International EA Lingjie Duan,Anibal Sanjab,Rachid Elazouzi Conference proceedings 2017 ICST Institute for Co

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發(fā)表于 2025-3-21 18:59:23 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Game Theory for Networks
副標(biāo)題7th International EA
編輯Lingjie Duan,Anibal Sanjab,Rachid Elazouzi
視頻videohttp://file.papertrans.cn/381/380504/380504.mp4
叢書名稱Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
圖書封面Titlebook: Game Theory for Networks; 7th International EA Lingjie Duan,Anibal Sanjab,Rachid Elazouzi Conference proceedings 2017 ICST Institute for Co
描述This book constitutes the refereed proceedings of the 7th EAI International Conference on Game Theory for Networks, GameNets 2017, held in Knoxville, Tennessee, USA, in May 2017..The 10 conference papers and 5 invited papers presented cover topics such as smart electric grid, Internet of Things (IoT), social networks, networks security, mobile service markets, and epidemic control..
出版日期Conference proceedings 2017
關(guān)鍵詞agents; artificial intelligence; game theory; incentive mechanism; information dissemination; internet; le
版次1
doihttps://doi.org/10.1007/978-3-319-67540-4
isbn_softcover978-3-319-67539-8
isbn_ebook978-3-319-67540-4Series ISSN 1867-8211 Series E-ISSN 1867-822X
issn_series 1867-8211
copyrightICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2017
The information of publication is updating

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A Multitype Hawk and Dove Gamean decide whether to act aggressively (Hawk) or peacefully (Dove). Each individual is characterized by its strength. The strength distribution among the population is assumed to be fixed and not to vary in time. If both individuals involved in an interaction are Hawks, there will be a fight, the res
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Assortative Mixing Equilibria in Social Network Gamesof their own kind. But what are the reasons for this phenomenon? Is it that such relations are more convenient and easier to maintain? Or are there also some more tangible benefits to be gained from this collective behaviour?.The current work takes a game-theoretic perspective on this phenomenon, an
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On the Finite Population Evolutionary Stable Strategy Equilibrium for Perfect Information Extensive form games. In this adaptation, players reach a finite population evolutionary stable strategy equilibrium by using finite population evolutionary stable strategies which ensure that the game ends up with equal payoffs. We studied the fpESS equilibria of some famous two-player bargaining games such
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Designing Cyber Insurance Policies: Mitigating Moral Hazard Through Security Pre-Screeningity. However, in the absence of regulated insurance markets or compulsory insurance, the introduction of insurance deteriorates network security. This is because by transferring part of their risk to the insurer, the insured agents can decrease their levels of effort. In this paper, we consider the
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A Game-Theoretic Model for Analysis and Design of Self-organization Mechanisms in IoTti-interface nodes are modeled as self-interested agents who individually decide on establishment and severance of links to other agents. Through analysis of the static game, we formally confirm the emergence of realistic topologies from our model, and analytically establish the criteria that lead t
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Rules for Computing Resistance of Transitions of Learning Algorithms in Gamesal games, the SSSs of the log-linear learning algorithm are the minimizers of the potential function. The SSSs can be characterized using the resistance trees of a Perturbed Markov Chain (PMC), they are the roots of minimum resistance tree. Therefore, computing the resistance of trees in PMC is impo
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Optimal Control of Multi-strain Epidemic Processes in Complex Networksress. Despite the rapid development of vaccines and drugs, one challenge in disease control is the fact that one pathogen sometimes generates many strains with different spreading features. Hence it is of critical importance to investigate multi-strain epidemic dynamics and its associated epidemic c
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