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arXiv 0902.1346physics.soc-phphysics.bio-ph
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阿克塞尔罗德文化传播模式中的文化-地域关系

Culture-area relation in Axelrod's model for culture dissemination

Lauro A. Barbosa, José F. Fontanari

摘要:

阿克塞尔罗德的文化传播模型为为什么存在文化多样性的问题提供了一个重要的答案,因为人们的信仰有一种趋势,随着人们的反复互动,彼此之间的信仰变得更加相似。答案取决于模型的两个控制参数,即表征每个代理人的文化特征的数量$F$,以及每个特征可以呈现的特征的数量$q$,以及领土的大小$A$,或者等价地,交互代理人的数量。在这里,我们调查的依赖性的不同共存的文化的数量$C$的面积$A$阿克塞尔罗德的模型-文化-面积的关系-通过广泛的蒙特卡罗模拟。我们发现了一个非单调的文化面积的关系,当该地区增长超过一定的大小,文化的数量减少,只要$q$是小于一个阈值$q_c = q_c (F)$和$F \geq 3$。在无限区域的极限中,该阈值表示由均匀培养物(C=1)标记的全球化状态与所有$C = q^F$可能的培养物共存的完全极化状态之间的不连续过渡的开始。否则,文化-区域关系表现出物种-区域关系的典型行为,即,单调增加的曲线,其斜率起初是陡峭的,并且在某个最大分集值处稳定地变平。

英文摘要:

Axelrod's model for culture dissemination offers a nontrivial answer to the question of why there is cultural diversity given that people's beliefs have a tendency to become more similar to each other's as people interact repeatedly. The answer depends on the two control parameters of the model, namely, the number $F$ of cultural features that characterize each agent, and the number $q$ of traits that each feature can take on, as well as on the size $A$ of the territory or, equivalently, on the number of interacting agents. Here we investigate the dependence of the number $C$ of distinct coexisting cultures on the area $A$ in Axelrod's model -- the culture-area relationship -- through extensive Monte Carlo simulations. We find a non-monotonous culture-area relation, for which the number of cultures decreases when the area grows beyond a certain size, provided that $q$ is smaller than a threshold value $q_c = q_c (F)$ and $F \geq 3$. In the limit of infinite area, this threshold value signals the onset of a discontinuous transition between a globalized regime marked by a uniform culture (C=1), and a completely polarized regime where all $C = q^F$ possible cultures coexist. Otherwise the culture-area relation exhibits the typical behavior of the species-area relation, i.e., a monotonically increasing curve the slope of which is steep at first and steadily levels off at some maximum diversity value.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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