Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/26875
Appears in Collections:Computing Science and Mathematics Journal Articles
Peer Review Status: Refereed
Title: The Active Inference Approach to Ecological Perception: General Inforation Dynamics for Natural and Artifical Embodied Cognition
Author(s): Linson, Adam
Clark, Andy
Ramamoorthy, Subramanian
Friston, Karl
Keywords: free energy
uncertainty
self-organization
embodiment
evolution
affordances
skilled expertise
frame problem
Issue Date: 8-Mar-2018
Citation: Linson A, Clark A, Ramamoorthy S & Friston K (2018) The Active Inference Approach to Ecological Perception: General Inforation Dynamics for Natural and Artifical Embodied Cognition, Frontiers in Robotics and AI, 5, Art. No.: 21.
Abstract: The emerging neurocomputational vision of humans as embodied, ecologically embedded, social agents—who shape and are shaped by their environment—offers a golden opportunity to revisit and revise ideas about the physical and information-theoretic underpinnings of life, mind, and consciousness itself. In particular, the active inference framework (AIF) makes it possible to bridge connections from computational neuroscience and robotics/AI to ecological psychology and phenomenology, revealing common underpinnings and overcoming key limitations. AIF opposes the mechanistic to the reductive, while staying fully grounded in a naturalistic and information-theoretic foundation, using the principle of free energy minimization. The latter provides a theoretical basis for a unified treatment of particles, organisms, and interactive machines, spanning from the inorganic to organic, non-life to life, and natural to artificial agents. We provide a brief introduction to AIF, then explore its implications for evolutionary theory, ecological psychology, embodied phenomenology, and robotics/AI research. We conclude the paper by considering implications for machine consciousness.
DOI Link: http://dx.doi.org/10.3389/frobt.2018.00021
Rights: © 2018 Linson, Clark, Ramamoorthy and Friston. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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