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Entropy 2017, 19(9), 456; doi:10.3390/e19090456

Morphological Computation: Synergy of Body and Brain

Max Planck Institute for Mathematics in the Sciences, 04103 Leipzig, Germany
Santa Fe Institute, Santa Fe, NM 87501, USA
Author to whom correspondence should be addressed.
Received: 9 July 2017 / Revised: 18 August 2017 / Accepted: 25 August 2017 / Published: 31 August 2017
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There are numerous examples that show how the exploitation of the body’s physical properties can lift the burden of the brain. Examples include grasping, swimming, locomotion, and motion detection. The term Morphological Computation was originally coined to describe processes in the body that would otherwise have to be conducted by the brain. In this paper, we argue for a synergistic perspective, and by that we mean that Morphological Computation is a process which requires a close interaction of body and brain. Based on a model of the sensorimotor loop, we study a new measure of synergistic information and show that it is more reliable in cases in which there is no synergistic information, compared to previous results. Furthermore, we discuss an algorithm that allows the calculation of the measure in non-trivial (non-binary) systems. View Full-Text
Keywords: embodied artificial intelligence; synergistic information; information theory; morphological computation; complexity; information integration embodied artificial intelligence; synergistic information; information theory; morphological computation; complexity; information integration

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Ghazi-Zahedi, K.; Langer, C.; Ay, N. Morphological Computation: Synergy of Body and Brain. Entropy 2017, 19, 456.

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