内疚的进化优势:结构化人群中社会和非社会内疚的共同进化。

IF 3.5 2区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES
Journal of The Royal Society Interface Pub Date : 2025-07-01 Epub Date: 2025-07-30 DOI:10.1098/rsif.2025.0164
Theodor Cimpeanu, Luis Moniz Pereira, The Anh Han
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引用次数: 0

摘要

建立道德机器可能需要赋予它们自我评价和为自己的行为忏悔的情感能力。虽然道歉代表了潜在的战略互动,但内疚作为一种行为特征的明确演变仍然知之甚少。我们的研究深入探讨了两种形式的情绪内疚感的共同进化:社会内疚感需要成本,要求行为主体努力理解他人的内部状态和行为;而非社会内疚只涉及到对自己状态的意识,不会产生社会成本。借助进化博弈论的方法,我们分析地研究,并通过广泛的数值模拟和基于代理的模拟,内疚是否以及如何进化和部署,取决于代理系统的底层结构。我们的研究结果表明,在晶格和无尺度网络中,与非结构良好混合的人群相比,有利于情感内疚的策略主导了更大范围的内疚和社会成本,从而导致更高水平的合作。在结构化的人群中,社会和非社会内疚都可以通过情感倾向策略的聚集而茁壮成长,从而提供对剥削者的保护,特别是对于成本较低的非社会策略。这些见解揭示了内疚和合作之间复杂的相互作用,增强了我们对伦理人工智能的理解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

The evolutionary advantage of guilt: co-evolution of social and non-social guilt in structured populations.

The evolutionary advantage of guilt: co-evolution of social and non-social guilt in structured populations.

The evolutionary advantage of guilt: co-evolution of social and non-social guilt in structured populations.

The evolutionary advantage of guilt: co-evolution of social and non-social guilt in structured populations.

Building ethical machines may involve bestowing upon them the emotional capacity to self-evaluate and repent for their actions. While apologies represent potential strategic interactions, the explicit evolution of guilt as a behavioural trait remains poorly understood. Our study delves into the co-evolution of two forms of emotional guilt: social guilt entails a cost, requiring agents to exert efforts to understand others' internal states and behaviours; and non-social guilt, which only involves awareness of one's own state, incurs no social cost. Resorting to methods from evolutionary game theory, we study analytically, and through extensive numerical and agent-based simulations, whether and how guilt can evolve and deploy, depending on the underlying structure of the systems of agents. Our findings reveal that in lattice and scale-free networks, strategies favouring emotional guilt dominate a broader range of guilt and social costs compared to non-structured well-mixed populations, leading to higher levels of cooperation. In structured populations, both social and non-social guilt can thrive through clustering with emotionally inclined strategies, thereby providing protection against exploiters, particularly for less costly non-social strategies. These insights shed light on the complex interplay of guilt and cooperation, enhancing our understanding of ethical artificial intelligence.

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来源期刊
Journal of The Royal Society Interface
Journal of The Royal Society Interface 综合性期刊-综合性期刊
CiteScore
7.10
自引率
2.60%
发文量
234
审稿时长
2.5 months
期刊介绍: J. R. Soc. Interface welcomes articles of high quality research at the interface of the physical and life sciences. It provides a high-quality forum to publish rapidly and interact across this boundary in two main ways: J. R. Soc. Interface publishes research applying chemistry, engineering, materials science, mathematics and physics to the biological and medical sciences; it also highlights discoveries in the life sciences of relevance to the physical sciences. Both sides of the interface are considered equally and it is one of the only journals to cover this exciting new territory. J. R. Soc. Interface welcomes contributions on a diverse range of topics, including but not limited to; biocomplexity, bioengineering, bioinformatics, biomaterials, biomechanics, bionanoscience, biophysics, chemical biology, computer science (as applied to the life sciences), medical physics, synthetic biology, systems biology, theoretical biology and tissue engineering.
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