There has been an enormous amount of interest in how the brain seeks information. The study of this issue is a rapidly growing field in neuroscience. Information seeking is to make informative choices among multiple alternatives. A central issue in information seeking is how the value of information is assessed in order to choose informative alternatives. This issue has been studied in psychology, economics, and artificial intelligence. The present review is focused on information assessment and summarizes the psychological and computational criteria with which humans and computers assess information. Based on the summary, neurophysiological findings are discussed. In addition, a computational view of the relationships between these criteria is presented.

中文翻译：

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信息搜索标准：人工智能、经济学、心理学和神经科学

人们对大脑如何寻找信息产生了极大的兴趣。对这个问题的研究是神经科学中一个快速发展的领域。信息搜索是在多个备选方案中做出信息性选择。信息搜索的一个核心问题是如何评估信息的价值以选择信息丰富的替代方案。这个问题已经在心理学、经济学和人工智能领域进行了研究。本综述侧重于信息评估，并总结了人类和计算机评估信息的心理和计算标准。在总结的基础上，讨论了神经生理学发现。此外，还提供了这些标准之间关系的计算视图。