高阶状态空间中作为推理的意识
Awareness as inference in a higher-order state space
摘要：
人类有能力报告他们主观经验的内容-我们可以互相说，“我知道X”。支持这些关于心理内容的报告的决策过程仍然知之甚少。在这篇文章中，我提出了一个计算框架，其特点是意识报告的元认知决策（推理）的生成模型的感知内容。这个帐户的动机是从灵活的层次状态空间是如何建立在学习和决策的角度。支持意识报告的内部状态，不像那些与知觉内容共变的内部状态，是简单而抽象的，沿着从缺席到现在的一维连续体变化。这种架构的一个关键特征是它是高阶和不对称的：大量的感知状态嵌套在“存在”之下，但嵌套在“不存在”之下的可能状态的数量要少得多。通过模拟，我表明，这种不对称性提供了一个自然的帐户的观察“全球点火”在大脑成像研究的意识报告。
英文摘要：
Humans have the ability to report the contents of their subjective experience - we can say to each other, "I am aware of X". The decision processes that support these reports about mental contents remain poorly understood. In this article I propose a computational framework that characterises awareness reports as metacognitive decisions (inference) about a generative model of perceptual content. This account is motivated from the perspective of how flexible hierarchical state spaces are built during learning and decision-making. Internal states supporting awareness reports, unlike those covarying with perceptual contents, are simple and abstract, varying along a one-dimensional continuum from absent to present. A critical feature of this architecture is that it is both higher-order and asymmetric: a vast number of perceptual states is nested under "present", but a much smaller number of possible states nested under "absent". Via simulations I show that this asymmetry provides a natural account of observations of "global ignition" in brain imaging studies of awareness reports.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
