摘要翻译:
我们介绍了一个基于Agent的模型,用于社会经济系统中技术发展的传播,其中技术主要用于Agent的协作/交互。代理商使用不同技术的产品进行合作,其成本与技术水平的差异成正比。当使用不同提供商的技术时,会产生额外的成本。代理可以采用他们的交互伙伴的技术和提供商,以降低他们的成本,导致系统的微观重新安排。分析计算和计算机模拟表明,从不同技术水平的随机配置出发,会出现一个复杂的时间演化过程,在这个过程中,先进技术的传播和系统的整体技术进步取决于更先进技术所提供的优势的数量和主体的社会环境结构。我们证明了agents倾向于形成具有相同技术水平的簇,簇的大小分布呈幂律分布。当技术进步出现时,技术在系统中的传播可以用极序统计量来描述。
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英文标题:
《Cellular automata for the spreading of technologies in socio-economic
systems》
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作者:
Ferenc Kun, Gergely Kocsis, and Janos Farkas
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最新提交年份:
2008
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分类信息:
一级分类:Physics 物理学
二级分类:Physics and Society 物理学与社会
分类描述:Structure, dynamics and collective behavior of societies and groups (human or otherwise). Quantitative analysis of social networks and other complex networks. Physics and engineering of infrastructure and systems of broad societal impact (e.g., energy grids, transportation networks).
社会和团体(人类或其他)的结构、动态和集体行为。社会网络和其他复杂网络的定量分析。具有广泛社会影响的基础设施和系统(如能源网、运输网络)的物理和工程。
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一级分类:Physics 物理学
二级分类:Statistical Mechanics 统计力学
分类描述:Phase transitions, thermodynamics, field theory, non-equilibrium phenomena, renormalization group and scaling, integrable models, turbulence
相变,热力学,场论,非平衡现象,重整化群和标度,可积模型,湍流
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英文摘要:
We introduce an agent-based model for the spreading of technological developments in socio-economic systems where the technology is mainly used for the collaboration/interaction of agents. Agents use products of different technologies to collaborate with each other which induce costs proportional to the difference of technological levels. Additional costs arise when technologies of different providers are used. Agents can adopt technologies and providers of their interacting partners in order to reduce their costs leading to microscopic rearrangements of the system. Analytical calculations and computer simulations revealed that starting from a random configuration of different technological levels a complex time evolution emerges where the spreading of advanced technologies and the overall technological progress of the system are determined by the amount of advantages more advanced technologies provide, and by the structure of the social environment of agents. We show that agents tend to form clusters of identical technological level with a power law size distribution. When technological progress arises, the spreading of technologies in the system can be described by extreme order statistics.
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PDF链接:
https://arxiv.org/pdf/801.3672