Getting to know you: Reputation and trust in a two-person economic exchange
Getting to know you: Reputation and trust in a two-person economic exchange
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DOI：
10.1126/science.1108062
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发表时间：
2005-04-01
期刊：
影响因子：
56.9
通讯作者：
Montague, PR
中科院分区：
文献类型：
--
作者：
King-Casas, B;Tomlin, D;Montague, PR
使用多轮版本的经济交流（信任游戏），我们报告说，互惠表示一个球员强烈预测未来的信任表示他们的合作伙伴-反映在背侧纹状体的神经反应的行为发现。在这里，大脑内部和大脑之间的分析揭示了两个信号-一个由反应幅度编码，另一个由反应时间编码。响应幅度与下一次玩游戏时的“信任意图”相关，并且随着玩家声誉的发展，这些“信任意图”响应的峰值将其发生时间移动了14秒。这种时间转移类似于强化学习模型中常见的奖励预测错误的类似转移，但在社会交换的背景下。这些数据扩展了以前的基于模型的功能磁共振成像，研究到社会领域，并扩大了我们的视野的背侧纹状体实现的功能谱。
Using a multiround version of an economic exchange (trust game), we report that reciprocity expressed by one player strongly predicts future trust expressed by their partner - a behavioral finding mirrored by neural responses in the dorsal striatum. Here, analyses within and between brains revealed two signals - one encoded by response magnitude, and the other by response timing. Response magnitude correlated with the "intention to trust" on the next play of the game, and the peak of these "intention to trust" responses shifted its time of occurrence by 14 seconds as player reputations developed. This temporal transfer resembles a similar shift of reward prediction errors common to reinforcement learning models, but in the context of a social exchange. These data extend previous model-based functional magnetic resonance imaging, studies into the social domain and broaden our view of the spectrum of functions implemented by the dorsal striatum.