间接的互惠与抽取推理的间接互惠
Neel Pandula1, Erol Akçay1, Bryce Morsky2
1Department of Biology, University of Pennsylvania, Philadelphia, PA, USA.
Journal of theoretical biology
|December 28, 2023
概括
使用Dempster-Shafer理论的诱导推理,可以通过管理声誉系统中的错误来增强合作. 然而,高错误率可以矛盾地减少合作,这表明需要仔细实施.
科学领域:
- 社会科学 社会科学 社会科学
- 认知科学 认知科学
- 游戏理论 游戏理论
背景情况:
- 间接互惠依赖于声誉来促进合作,但评估行为的错误可能会破坏这一点.
- 有效的声誉系统需要对作弊者进行准确的惩罚,并为合作者提供奖励.
研究的目的:
- 调查是否绑架推理,一种结合证据的方法,可以克服基于声誉的合作中的错误.
- 用Dempster-Shafer理论对个人进行建模,以解释信念的不确定性和错误率.
主要方法:
- 使用Dempster-Shafer理论对个体进行建模,以结合人口的信念和错误率.
- 通过五个社会规范 (评分,回避,简单的立场,停留,严厉的判断) 评估绑架推理的有效性.
主要成果:
- 抽象推理通常通过减轻评估和行动错误来改善低错误条件下的合作.
- 高错误率可能导致诱导性推理破坏合作.
- 对现有声誉的偏见可以帮助维持合作.
结论:
- 附带推理显示了在间接互惠中加强合作的潜力,但对错误率很敏感.
- 堕落推理的有效性取决于错误水平和所使用的特定社会规范.
- 保持对先前信念的一些偏见可能对在易出错的环境中稳定合作至关重要.
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