How Morphological Computation Shapes Integrated Information in Embodied Agents.

ABSTRACT: The Integrated Information Theory provides a quantitative approach to consciousness and can be applied to neural networks. An embodied agent controlled by such a network influences and is being influenced by its environment. This involves, on the one hand, morphological computation within goal directed action and, on the other hand, integrated information within the controller, the agent's brain. In this article, we combine different methods in order to examine the information flows among and within the body, the brain and the environment of an agent. This allows us to relate various information flows to each other. We test this framework in a simple experimental setup. There, we calculate the optimal policy for goal-directed behavior based on the "planning as inference" method, in which t

SUBMITTER: Langer C 

PROVIDER: S-EPMC8666602 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature