在人类默认网络中,无情,剥削和跟踪合作激励因素
Timothy A Allen1, Michael N Hallquist2, Alexandre Y Dombrovski1
1Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA 15213.
概括
人类的合作依赖于默认网络. 无情削弱了对合作的敏感性,而剥削性增加了对他人的合作的敏感性,这表明了社会认知适应.
科学领域:
- 神经科学是一个神经科学.
- 认知科学 认知科学
- 社会心理学 社会心理学
背景情况:
- 灵活的人类合作可能与前端对等网络扩展有关,特别是默认网络.
- 反社会行为与默认网络功能障碍有关,但操纵可能需要完整的社会认知.
研究的目的:
- 通过强化学习模型,研究个人如何根据对方的行为和声誉调整合作.
- 检查默认网络在调解合作,无情和剥削方面的作用.
主要方法:
- 一个经过修改的信任游戏,采用了决策的强化学习模型.
- 分析默认网络中的学习信号与合作率和个体差异的关系.
- 对社会声誉及其神经相关的行为敏感性的评估.
主要成果:
- 默认网络学习信号更新了合作/叛逃实用程序,并与相互合作进行了扩展.
- 这些信号在无情的个体中较弱,但在剥削的个体中更强.
- 无情表现出对合作激励措施的敏感性,而剥削性则预测了对他人合作的高度敏感性.
结论:
- 无情和剥削可能代表了社会生活的独特认知适应,默认网络扩张使之成为可能.
- 默认网络在调节社会决策方面发挥着至关重要的作用,特别是在应对合作和声誉方面.
- 了解这些神经机制可以揭示人类社会行为的演变.
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