The Political Replacement Effect in a Kinetic Model of Social Dynamics with Phase Transition

M. Dolfin
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引用次数: 3

Abstract

Abstract The political replacement effect is an interesting socio-political hypothesis introduced by Acemoglu and Robinson and statistically tested. It may determine, under some conditions, the phenomenon of innovation blocking, possibly leading to economic backwardness in a society. In a previous paper, we have introduced a kinetic model with stochastic evolutive game-type interactions, analyzing the relationship between the level of political competition in a society and the degree of economic liberalization. In the present paper we model we model the possibility of having a sort of phase transition occurring in the system when the phenomenon of blocking of the introduction of technological innovation, intended in a broad sense, appears. Crossing a critical point, the rules of interactions change by means of slightly different transition probabilities nevertheless determining very significant differences in the resulting long-term solutions.
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具有相变的社会动力学模型中的政治替代效应
摘要政治替代效应是Acemoglu和Robinson提出的一个有趣的社会政治假设,并经过统计学检验。它可能决定了在某些条件下创新受阻的现象,可能导致一个社会的经济落后。在之前的一篇论文中,我们引入了一个具有随机进化博弈型互动的动力学模型,分析了社会中政治竞争水平与经济自由化程度之间的关系。在本文中,我们对当出现广义的技术创新引入受阻现象时,系统中发生某种相变的可能性进行了建模。跨越一个临界点,相互作用的规则通过略微不同的转变概率而改变,但这决定了最终长期解决方案的非常显著的差异。
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来源期刊
CiteScore
1.30
自引率
0.00%
发文量
3
审稿时长
16 weeks
期刊介绍: Communications in Applied and Industrial Mathematics (CAIM) is one of the official journals of the Italian Society for Applied and Industrial Mathematics (SIMAI). Providing immediate open access to original, unpublished high quality contributions, CAIM is devoted to timely report on ongoing original research work, new interdisciplinary subjects, and new developments. The journal focuses on the applications of mathematics to the solution of problems in industry, technology, environment, cultural heritage, and natural sciences, with a special emphasis on new and interesting mathematical ideas relevant to these fields of application . Encouraging novel cross-disciplinary approaches to mathematical research, CAIM aims to provide an ideal platform for scientists who cooperate in different fields including pure and applied mathematics, computer science, engineering, physics, chemistry, biology, medicine and to link scientist with professionals active in industry, research centres, academia or in the public sector. Coverage includes research articles describing new analytical or numerical methods, descriptions of modelling approaches, simulations for more accurate predictions or experimental observations of complex phenomena, verification/validation of numerical and experimental methods; invited or submitted reviews and perspectives concerning mathematical techniques in relation to applications, and and fields in which new problems have arisen for which mathematical models and techniques are not yet available.
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