希博莱特:一种基于代理的模仿信号传递模型
Jonathan R Goodman1,2, Andrew Caines3, Robert A Foley1
1Leverhulme Centre for Human Evolutionary Studies, University of Cambridge, Cambridge, United Kingdom.
PloS one
|July 31, 2023
概括
对模仿检测的敏感性,而不是模仿成本,预测了群体身份信号的固定. 这凸显了检测欺骗者的重要性,以保持群体凝聚力和语言多样性.
科学领域:
- 进化生物学 进化生物学
- 社会动力学 社会动力学
- 计算建模 计算建模
背景情况:
- 模仿是竞争共进化动态中的一个关键策略.
- 检测模仿的群体身份信号对于预防伤害至关重要,并可能推动语言多样性.
研究的目的:
- 调查模仿检测灵敏度与模仿成本在组身份信号固定中的作用.
- 以Shibboleth故事为灵感,使用基于代理的模拟来建模集团间的互动.
主要方法:
- 五个基于代理的模型模拟了群体内和群体外个体之间的多代相互作用.
- 模型包括模仿质量,检测质量和检测成本在内的各种参数.
- 在后来的模型变化中,将群体级别的行为 (如利他主义惩罚) 纳入.
主要成果:
- 组成员对模仿的敏感性 (检测质量) 是信号固定的更强的预测因素,而不是模仿检测成本.
- 被检测为模仿者的可能性比被检测到的模仿者所产生的成本更为关键.
- 这表明,在生物信号的理论模型中,更重视检测概率.
结论:
- 对模仿的敏感性在建立群体身份信号方面比模仿成本更有影响力.
- 模仿和逃避检测的能力是通过语言线索获得群体成员资格的基础.
- 这些发现对理解语言演变和社会凝聚力有影响.
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