主动推理框架中的整合信息
Integrated Information in the Active Inference Framework
AI总结：
该研究将主动推理框架与整合信息理论结合，为生成模型定义整合信息测度，发现模拟智能体的整合信息测度与自由能的相关性随生成模型规模增大而增强。
AI中文摘要：
主动推理框架为建模感知行为提供了一种原则性方法，该框架将感知与动作选择统一处理，由此产生的智能体构建了关于世界相关动态的内部生成模型，以推断其未来观测结果、内部状态并选择动作。我们将该建模框架与意识的整合信息理论相结合，从而能够从整合信息的视角分析主动推理智能体。整合信息理论旨在通过评估系统整合信息的能力来量化其意识水平，在此我们通过额外的结构假设为生成模型定义了一种整合信息测度。对模拟智能体的实验表明，整合信息测度与主动推理智能体的自由能之间存在相关性，且该相关性随生成模型规模的增大而增强。
英文摘要：
The active inference framework provides a principled approach to modeling sentient behavior. In this framework perception and action selection are treated in a unified way. The resulting agents form an internal generative model of the relevant dynamics of the world in order to infer their future observations, their internal states and to select actions. We combine this modeling framework with the Integrated Information Theory of consciousness and are therefore able to analyze the active inference agents from the perspective of integrated information. The Integrated Information Theory aims at quantifying the level of consciousness of a system by assessing its capability to integrate information. Here, we define a measure of integrated information for the generative model by making an additional structural assumption. Experiments with simulated agents reveal a correlation between integrated information measures and the free energy of the active inference agents that increases with the size of the generative model.
