进化空间博弈中的更新规则、互惠和弱选择

G. Greenwood, P. Avery
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引用次数: 0

摘要

自然界中的合作是一个复杂的话题,它的研究给科学家们留下了许多悬而未决的问题。在过去的二十年里,人们一直在研究合作在进化背景下是如何运作的,以及我们如何在社会分析中模仿它。人们开发和分析了许多计算机模型,其中许多模型被表述为空间或网络游戏。这些游戏使用各种更新规则来发展合作策略。尽管经过了20年的努力,但可以说进展甚微。本文揭示了这些空间和网络游戏的一些问题,并说明了为什么它们不适合得到任何真正的答案。对未来的研究方向提出了建议,可能会提供一些见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Update rules, reciprocity and weak selection in evolutionary spatial games
Cooperation in nature is a complex topic and its study has left scientists with many open questions. Over the past two decades research has been undertaken into how cooperation works in an evolutionary context and how we can emulate it for social analysis. Numerous computer models have been developed and analyzed, with many models formulated as spatial or network games. These games use various update rules to evolve cooperative strategies. Despite two decades of effort, arguably little progress has been made. This paper exposes some of the problems with these spatial and network games and shows why they are ill-suited to get any real answers. Recommendations on future research directions that might provide some insight are presented.
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