Intention recognition promotes the emergence of cooperation
Intention recognition promotes the emergence of cooperation
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DOI：
10.1177/1059712311410896
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发表时间：
2011-08-01
影响因子：
1.6
通讯作者：
Santos, Francisco C.
中科院分区：
文献类型：
--
作者：
Anh, Han The;Pereira, Luis Moniz;Santos, Francisco C.
很少有问题能像合作的演变那样，把这么多互不相关的领域结合起来。因此，已经确定了几种机制作为合作行为的催化剂。然而，这些研究大多基于进化动力学和博弈论，忽视了意图识别在行为进化中的重要作用。在这里，我们明确地解决了这个问题，描述了意图识别者群体中出现的动态特征。我们推导出一个贝叶斯网络模型的意图识别的背景下，反复的社会困境和进化博弈论，通过评估意图识别器和他们的对手之间的信任的内部动态。然后，意图识别者能够根据过去的直接互动来预测对手的下一步行动，这反过来又使他们能够战胜最著名的重复合作困境策略，即使在噪音存在的情况下。总的来说，我们的框架提供了新的见解的复杂性和美丽的行为进化驱动的基本形式的认知。
Few problems have created the combined interest of so many unrelated areas as the evolution of cooperation. As a result, several mechanisms have been identified to work as catalyzers of cooperative behavior. Yet, these studies, mostly grounded on evolutionary dynamics and game theory, have neglected the important role played by intention recognition in behavioral evolution. Here we address explicitly this issue, characterizing the dynamics emerging from a population of intention recognizers. We derive a Bayesian network model for intention recognition in the context of repeated social dilemmas and evolutionary game theory, by assessing the internal dynamics of trust between intention recognizers and their opponents. Intention recognizers are then able to predict the next move of their opponents based on past direct interactions, which, in turn, enables them to prevail over the most famous strategies of repeated dilemmas of cooperation, even in presence of noise. Overall, our framework offers new insights on the complexity and beauty of behavioral evolution driven by elementary forms of cognition.