两极分化和敌意对一类简单对称冲突模型均衡的作用

IF 0.9 4区 经济学 Q3 ECONOMICS
Fausto Cavalli, Mario Gilli, Ahmad Naimzada
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引用次数: 0

摘要

本研究旨在提供一个易于管理的对称双人冲突模型,在该模型中,我们定义了极化和敌意的衡量标准,研究了外溢效应对均衡集属性、冲突强度以及极化和敌意的内生变化的影响。我们发现,在没有溢出效应的情况下,均衡努力的强度与努力的边际生产率与(事前)极化的比率是唯一相关的。相反,我们证明冲突技术的负溢出效应可能意味着均衡不存在。然后,通过引入冲突可能结果的溢出效应,我们将多个对称和非对称均衡的存在与两极分化和敌意增长的强度联系起来。然后,我们研究了边际努力生产率、(事前)两极分化以及两极分化和敌意的增长率对冲突强度以及均衡时的两极分化和敌意的不同影响。结果表明,敌意发挥了至关重要的作用,而许多冲突模型都忽略了这一因素。最后,我们展示了在考虑一般情况时,如何证实通过考虑部分溢出效应所获得的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

The role of polarization and hostility on equilibria in a simple class of symmetric conflict models

The role of polarization and hostility on equilibria in a simple class of symmetric conflict models

This study aims to provide a manageable symmetric two-players conflict model in which, defining measures for polarization and hostility, we investigate the effects of spillovers into the properties of the sets of equilibria, into the intensity of conflict, and into the endogenous changes in polarization and hostility. We show that, without spillovers, the equilibrium efforts’ intensity is uniquely connected to the ratio of the marginal productivity of effort to (ex ante) polarization. Conversely, we show that negative spillovers in conflict technology can imply the non-existence of equilibria. Then, introducing spillovers in the possible outcomes of the conflict, we connect the existence of multiple symmetric and asymmetric equilibria to the intensity of growing polarization and hostility. We then investigate the different effects of marginal productivity of effort, (ex ante) polarization and rates of growth of polarization and hostility on the intensity of conflict as well as on polarization and hostility at equilibrium. The results show the crucial role played by hostility, a factor disregarded in many conflict models. Finally, we show how the results obtained by considering partial spillover effects are confirmed when the general case is taken into account.

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来源期刊
CiteScore
1.60
自引率
0.00%
发文量
62
期刊介绍: The field of decision has been investigated from many sides. However, research programs relevant to decision making in psychology, management science, economics, the theory of games, statistics, operations research, artificial intelligence, cognitive science and analytical philosophy have remained separate. Theory and Decision is devoted to all aspects of decision making belonging to such programs, but addresses also possible cross-fertilizations between these disciplines which would represent effective advances in knowledge. The purpose of the journal is to let the engineering of choice gradually emerge both for individual and for collective decision making. Formalized treatments will be favoured, to the extent that they provide new insights into the issues raised and an appropriate modeling of the situation considered. Due to its growing importance, expermentation in decision making as well as its links to the cognitive sciences will be granted special attention by Theory and Decision. Of particular interest are: Preference and belief modeling, Experimental decision making under risk or under uncertainty, Decision analysis, multicriteria decision modeling, Game theory, negotiation theory, collective decision making, social choice, Rationality, cognitive processes and interactive decision making, Methodology of the decision sciences. Applications to various problems in management and organization science, economics and finance, computer-supported decision schemes, will be welcome as long as they bear on sufficiently general cases. Analysis of actual decision making processes are also relevant topics for the journal, whether pertaining to individual, collective or negotiatory approaches; to private decisions or public policies; to operations or to strategic choices. Officially cited as: Theory Decis
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