Suppr超能文献

双刃剑:进化检查博弈中异质惩罚的益处与陷阱

A double-edged sword: Benefits and pitfalls of heterogeneous punishment in evolutionary inspection games.

作者信息

Perc Matjaž, Szolnoki Attila

机构信息

1] Faculty of Natural Sciences and Mathematics, University of Maribor, Koroška cesta 160, SI-2000 Maribor, Slovenia [2] Department of Physics, Faculty of Sciences, King Abdulaziz University, Jeddah, Saudi Arabia [3] CAMTP - Center for Applied Mathematics and Theoretical Physics, University of Maribor, Krekova 2, SI-2000 Maribor, Slovenia.

Institute of Technical Physics and Materials Science, Research Centre for Natural Sciences, Hungarian Academy of Sciences, P.O. Box 49, H-1525 Budapest, Hungary.

出版信息

Sci Rep. 2015 Jun 5;5:11027. doi: 10.1038/srep11027.

Abstract

As a simple model for criminal behavior, the traditional two-strategy inspection game yields counterintuitive results that fail to describe empirical data. The latter shows that crime is often recurrent, and that crime rates do not respond linearly to mitigation attempts. A more apt model entails ordinary people who neither commit nor sanction crime as the third strategy besides the criminals and punishers. Since ordinary people free-ride on the sanctioning efforts of punishers, they may introduce cyclic dominance that enables the coexistence of all three competing strategies. In this setup ordinary individuals become the biggest impediment to crime abatement. We therefore also consider heterogeneous punisher strategies, which seek to reduce their investment into fighting crime in order to attain a more competitive payoff. We show that this diversity of punishment leads to an explosion of complexity in the system, where the benefits and pitfalls of criminal behavior are revealed in the most unexpected ways. Due to the raise and fall of different alliances no less than six consecutive phase transitions occur in dependence on solely the temptation to succumb to criminal behavior, leading the population from ordinary people-dominated across punisher-dominated to crime-dominated phases, yet always failing to abolish crime completely.

摘要

作为犯罪行为的一个简单模型,传统的双策略检查博弈产生了与直觉相悖的结果,无法描述实证数据。实证数据表明,犯罪往往反复发生,而且犯罪率对减轻犯罪的尝试并非呈线性反应。一个更合适的模型是,除了罪犯和惩罚者之外,将既不犯罪也不制裁犯罪的普通人作为第三种策略。由于普通人搭惩罚者制裁努力的便车,他们可能会引入循环优势,使所有三种竞争策略得以共存。在这种情况下,普通人成为减少犯罪的最大障碍。因此,我们还考虑了异质惩罚者策略,即惩罚者试图减少打击犯罪的投入,以获得更具竞争力的收益。我们表明,这种惩罚的多样性导致系统复杂性激增,犯罪行为的利弊以最意想不到的方式显现出来。由于不同联盟的兴衰,仅依赖于屈服于犯罪行为的诱惑,就会连续发生不少于六次的相变,使人口从以普通人为主导,经过以惩罚者为主导,再到以犯罪为主导的阶段,但始终无法完全消除犯罪。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c419/4457152/d22768c1d65b/srep11027-f1.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验