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Optimal prediction of decisions and model selection in social dilemmas using block models

机译:块模型的社交困境中的决策和模型选择的最佳预测

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Advancing our understanding of human behavior hinges on the ability of theories to unveil the mechanisms underlying such behaviors. Measuring the ability of theories and models to predict unobserved behaviors provides a principled method to evaluate their merit and, thus, to help establish which mechanisms are most plausible. Here, we propose models and develop rigorous inference approaches to predict strategic decisions in dyadic social dilemmas. In particular, we use bipartite stochastic block models that incorporate information about the dilemmas faced by individuals. We show, combining these models with empirical data on strategic decisions in dyadic social dilemmas, that individual strategic decisions are to a large extent predictable, despite not being “rational.” The analysis of these models also allows us to conclude that: (i) individuals do not perceive games according their game-theoretical structure; (ii) individuals make decisions using combinations of multiple simple strategies, which our approach reveals naturally.
机译:推进我们对人类行为的理解,铰接理论揭示诸如此类行为的机制。测量理论和模型以预测未观察的行为的能力提供了评估其优点的原则方法,从而有助于建立最合理的机制。在这里,我们提出了模型,培养了严格的推理方法,以预测在二元社会困境中的战略决策。特别是,我们使用与个人面对的困境的信息合并信息。我们展示了将这些模型与实证数据相结合了关于二元社会困境中的战略决策,即尽管没有“理性”,个人战略决策在很大程度上是可预测的。对这些模型的分析还允许我们得出结论:(i)个人不根据游戏理论结构感知游戏; (ii)个人使用多种简单策略的组合做出决定,我们的方法自然揭示。

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