The selective integration model of Tsetsos et al. (2016a) is a biologically motivated computational framework that aims to model intransitive preference and choice. Tsetsos et al. (2016a) concluded that a noisy system can lead to violations of transitivity in otherwise rational agents optimizing a task. We show how their model can be interpreted from a Fechnerian perspective and within a random utility framework. Specifically, we spell out the connection between the selective integration model and two probabilistic models of transitive preference, weak stochastic transitivity and the triangle inequalities, tested by Tsetsos et al. (2016a).

中文翻译：

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在费希纳和随机效用框架内重铸生物驱动的计算模型

Tsetsos 等人的选择性整合模型。(2016a) 是一个生物驱动的计算框架，旨在模拟不及物偏好和选择。Tsetsos 等人。(2016a) 得出的结论是，嘈杂的系统可能会导致优化任务的其他理性代理违反传递性。我们展示了如何从 Fechnerian 的角度和随机效用框架内解释他们的模型。具体来说，我们阐明了选择性整合模型与传递偏好、弱随机传递性和三角形不等式的两个概率模型之间的联系，由 Tsetsos 等人进行了测试。(2016a)。