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arXiv 2203.12237nlin.AO
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社会生态系统中有限理性参与者的分化混合

Disassortative mixing of boundedly-rational players in socio-ecological systems

Prasan Ratnayake, Dharshana Kasthurirathna, Mahendra Piraveenan

摘要:

有限理性是指非合作博弈中局中人的非最优理性。在网络博弈中,参与者的有限理性可能是异质的和空间分布的。它已经表明,“系统合理性”,这表明了网络的球员的整体合理性,可能会发挥关键作用,在现实世界的网络中出现无标度或核心-外围拓扑结构。另一方面,标量混合性是用于量化节点相对于给定标量属性的混合性的度量。在这项工作中,我们观察的效果节点合理性为基础的标量介导性,对系统的合理性的网络。基于仿真结果,我们表明,无论放置的节点具有较高的合理性,它是dispertative混合的节点的合理性,有助于最大限度地提高系统的合理性在人口。研究结果可能有有用的解释和应用在社会经济系统中最大限度地发挥效用的互动人口的战略球员。

英文摘要:

Bounded rationality refers to the non-optimal rationality of players in non-cooperative games. In a networked game, the bounded rationality of players may be heterogeneous and spatially distributed. It has been shown that the `system rationality', which indicates the overall rationality of a network of players, may play a key role in the emergence of scale-free or core-periphery topologies in real-world networks. On the other hand, scalar-assortativity is a metric used to quantify the assortative mixing of nodes with respect to a given scalar attribute. In this work, we observe the effect of node rationality-based scalar-assortativity, on the system rationality of a network. Based on simulation results, we show that irrespective of the placement of nodes with higher rationality, it is the disassortative mixing of node rationality that helps to maximize system rationality in a population. The findings may have useful interpretations and applications in socio-economic systems in maximizing the utility of interactions in a population of strategic players.

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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