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Entropy 2017, 19(6), 266;

Model-Based Approaches to Active Perception and Control

Institute of Cognitive Sciences and Technologies, National Research Council, Via S. Martino della Battaglia 44, 00185 Rome, Italy
Author to whom correspondence should be addressed.
Received: 3 May 2017 / Revised: 6 June 2017 / Accepted: 7 June 2017 / Published: 9 June 2017
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There is an on-going debate in cognitive (neuro) science and philosophy between classical cognitive theory and embodied, embedded, extended, and enactive (“4-Es”) views of cognition—a family of theories that emphasize the role of the body in cognition and the importance of brain-body-environment interaction over and above internal representation. This debate touches foundational issues, such as whether the brain internally represents the external environment, and “infers” or “computes” something. Here we focus on two (4-Es-based) criticisms to traditional cognitive theories—to the notions of passive perception and of serial information processing—and discuss alternative ways to address them, by appealing to frameworks that use, or do not use, notions of internal modelling and inference. Our analysis illustrates that: an explicitly inferential framework can capture some key aspects of embodied and enactive theories of cognition; some claims of computational and dynamical theories can be reconciled rather than seen as alternative explanations of cognitive phenomena; and some aspects of cognitive processing (e.g., detached cognitive operations, such as planning and imagination) that are sometimes puzzling to explain from enactive and non-representational perspectives can, instead, be captured nicely from the perspective that internal generative models and predictive processing mediate adaptive control loops. View Full-Text
Keywords: embodied cognition; active perception; active inference; model-based systems embodied cognition; active perception; active inference; model-based systems
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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Pezzulo, G.; Donnarumma, F.; Iodice, P.; Maisto, D.; Stoianov, I. Model-Based Approaches to Active Perception and Control. Entropy 2017, 19, 266.

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