How Morphological Computation Shapes Integrated Information in Embodied Agents

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 direc...

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Autores principales:	Carlotta Langer, Nihat Ay
Formato:	article
Lenguaje:	EN
Publicado:	Frontiers Media S.A. 2021
Materias:	information theory information geometry planning as inference morphological computation integrated information embodied artificial intelligence Psychology BF1-990
Acceso en línea:	https://doaj.org/article/edfec409fd2f44a79ce75947477c5b9e
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spelling	oai:doaj.org-article:edfec409fd2f44a79ce75947477c5b9e2021-12-01T12:42:52ZHow Morphological Computation Shapes Integrated Information in Embodied Agents1664-107810.3389/fpsyg.2021.716433https://doaj.org/article/edfec409fd2f44a79ce75947477c5b9e2021-11-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fpsyg.2021.716433/fullhttps://doaj.org/toc/1664-1078The 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 the information-geometric em-algorithm is used to optimize the likelihood of the goal. Morphological computation and integrated information are then calculated with respect to the optimal policies. Comparing the dynamics of these measures under changing morphological circumstances highlights the antagonistic relationship between these two concepts. The more morphological computation is involved, the less information integration within the brain is required. In order to determine the influence of the brain on the behavior of the agent it is necessary to additionally measure the information flow to and from the brain.Carlotta LangerCarlotta LangerNihat AyNihat AyNihat AyNihat AyFrontiers Media S.A.articleinformation theoryinformation geometryplanning as inferencemorphological computationintegrated informationembodied artificial intelligencePsychologyBF1-990ENFrontiers in Psychology, Vol 12 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	information theory information geometry planning as inference morphological computation integrated information embodied artificial intelligence Psychology BF1-990
spellingShingle	information theory information geometry planning as inference morphological computation integrated information embodied artificial intelligence Psychology BF1-990 Carlotta Langer Carlotta Langer Nihat Ay Nihat Ay Nihat Ay Nihat Ay How Morphological Computation Shapes Integrated Information in Embodied Agents
description	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 the information-geometric em-algorithm is used to optimize the likelihood of the goal. Morphological computation and integrated information are then calculated with respect to the optimal policies. Comparing the dynamics of these measures under changing morphological circumstances highlights the antagonistic relationship between these two concepts. The more morphological computation is involved, the less information integration within the brain is required. In order to determine the influence of the brain on the behavior of the agent it is necessary to additionally measure the information flow to and from the brain.
format	article
author	Carlotta Langer Carlotta Langer Nihat Ay Nihat Ay Nihat Ay Nihat Ay
author_facet	Carlotta Langer Carlotta Langer Nihat Ay Nihat Ay Nihat Ay Nihat Ay
author_sort	Carlotta Langer
title	How Morphological Computation Shapes Integrated Information in Embodied Agents
title_short	How Morphological Computation Shapes Integrated Information in Embodied Agents
title_full	How Morphological Computation Shapes Integrated Information in Embodied Agents
title_fullStr	How Morphological Computation Shapes Integrated Information in Embodied Agents
title_full_unstemmed	How Morphological Computation Shapes Integrated Information in Embodied Agents
title_sort	how morphological computation shapes integrated information in embodied agents
publisher	Frontiers Media S.A.
publishDate	2021
url	https://doaj.org/article/edfec409fd2f44a79ce75947477c5b9e
work_keys_str_mv	AT carlottalanger howmorphologicalcomputationshapesintegratedinformationinembodiedagents AT carlottalanger howmorphologicalcomputationshapesintegratedinformationinembodiedagents AT nihatay howmorphologicalcomputationshapesintegratedinformationinembodiedagents AT nihatay howmorphologicalcomputationshapesintegratedinformationinembodiedagents AT nihatay howmorphologicalcomputationshapesintegratedinformationinembodiedagents AT nihatay howmorphologicalcomputationshapesintegratedinformationinembodiedagents
_version_	1718405209260032000

How Morphological Computation Shapes Integrated Information in Embodied Agents

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