通过解散机制实现怨恨进化与利他主义进化

IF 1.2 4区 生物学 Q4 ECOLOGY Theoretical Population Biology Pub Date : 2024-02-21 DOI:10.1016/j.tpb.2024.02.008
Shun Kurokawa
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引用次数: 0

摘要

利他主义和怨恨行为对行为者来说代价高昂,因此在没有特定机制的情况下,它们的进化是不可能的。然而,利他行为和怨恨行为都存在于个体中,这就表明存在着驱动它们进化的潜在机制。如果利他主义个体比非利他主义个体更有可能成为利他主义的接受者,那么利他主义就会受到自然选择的青睐。同样,如果怀有怨恨的个体比不怀有怨恨的个体更不容易接受怨恨,那么怨恨也会受到自然选择的青睐。唾弃是利他主义的邪恶孪生兄弟、利他主义的丑陋姐妹或利他主义的阴暗亲戚。在某些机制中,例如在重复互动中,如果利他主义受到自然选择的青睐,那么怨恨也会受到自然选择的青睐。然而,关于这两种行为是否会在相同程度上进化的研究还很有限。在本研究中,我们重点研究个体根据对手的行为选择保持或停止互动的机制。利用进化博弈论,我们研究了利他主义和怨恨行为在这一机制下的进化。我们的模型揭示了怨恨的进化比利他主义的进化更不可能。
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Evolution of spite versus evolution of altruism through a disbandment mechanism

Altruism and spite are costly to the actor, making their evolution unlikely without specific mechanisms. Nonetheless, both altruistic and spiteful behaviors are present in individuals, which suggests the existence of an underlying mechanism that drives their evolution. If altruistic individuals are more likely to be recipients of altruism than non-altruistic individuals, then altruism can be favored by natural selection. Similarly, if spiteful individuals are less likely to be recipients of spite than non-spiteful individuals, then spite can be favored by natural selection. Spite is altruism's evil twin, ugly sister of altruism, or a shady relative of altruism. In some mechanisms, such as repeated interactions, if altruism is favored by natural selection, then spite is also favored by natural selection. However, there has been limited investigation into whether both behaviors evolve to the same extent. In this study, we focus on the mechanism by which individuals choose to keep or stop the interaction according to the opponent's behavior. Using the evolutionary game theory, we investigate the evolution of altruism and spite under this mechanism. Our model revealed that the evolution of spite is less likely than the evolution of altruism.

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来源期刊
Theoretical Population Biology
Theoretical Population Biology 生物-进化生物学
CiteScore
2.50
自引率
14.30%
发文量
43
审稿时长
6-12 weeks
期刊介绍: An interdisciplinary journal, Theoretical Population Biology presents articles on theoretical aspects of the biology of populations, particularly in the areas of demography, ecology, epidemiology, evolution, and genetics. Emphasis is on the development of mathematical theory and models that enhance the understanding of biological phenomena. Articles highlight the motivation and significance of the work for advancing progress in biology, relying on a substantial mathematical effort to obtain biological insight. The journal also presents empirical results and computational and statistical methods directly impinging on theoretical problems in population biology.
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