Active Inference, homeostatic regulation and adaptive behavioural control

We review a theory of homeostatic regulation and adaptive behavioural control within the Active Inference framework. Our aim is to connect two research streams that are usually considered independently; namely, Active Inference and associative learning theories of animal behaviour. The former uses a...

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Published in:Progress in neurobiology Vol. 134; pp. 17 - 35
Main Authors: Pezzulo, Giovanni, Rigoli, Francesco, Friston, Karl
Format: Journal Article
Language:English
Published: England Pergamon Press 01.11.2015
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ISSN:0301-0082, 1873-5118
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Abstract We review a theory of homeostatic regulation and adaptive behavioural control within the Active Inference framework. Our aim is to connect two research streams that are usually considered independently; namely, Active Inference and associative learning theories of animal behaviour. The former uses a probabilistic (Bayesian) formulation of perception and action, while the latter calls on multiple (Pavlovian, habitual, goal-directed) processes for homeostatic and behavioural control. We offer a synthesis these classical processes and cast them as successive hierarchical contextualisations of sensorimotor constructs, using the generative models that underpin Active Inference. This dissolves any apparent mechanistic distinction between the optimization processes that mediate classical control or learning. Furthermore, we generalize the scope of Active Inference by emphasizing interoceptive inference and homeostatic regulation. The ensuing homeostatic (or allostatic) perspective provides an intuitive explanation for how priors act as drives or goals to enslave action, and emphasises the embodied nature of inference.
AbstractList • An Active Inference account of homeostatic regulation and behavioural control. • Pavlovian, habitual and goal-directed behaviours explained with one scheme. • A possible phylogenetic trajectory from simpler to hierarchical controllers. • Precision-dependent processes regulate habitual and goal-directed behaviour. We review a theory of homeostatic regulation and adaptive behavioural control within the Active Inference framework. Our aim is to connect two research streams that are usually considered independently; namely, Active Inference and associative learning theories of animal behaviour. The former uses a probabilistic (Bayesian) formulation of perception and action, while the latter calls on multiple (Pavlovian, habitual, goal-directed) processes for homeostatic and behavioural control. We offer a synthesis these classical processes and cast them as successive hierarchical contextualisations of sensorimotor constructs, using the generative models that underpin Active Inference. This dissolves any apparent mechanistic distinction between the optimization processes that mediate classical control or learning. Furthermore, we generalize the scope of Active Inference by emphasizing interoceptive inference and homeostatic regulation. The ensuing homeostatic (or allostatic) perspective provides an intuitive explanation for how priors act as drives or goals to enslave action, and emphasises the embodied nature of inference.
We review a theory of homeostatic regulation and adaptive behavioural control within the Active Inference framework. Our aim is to connect two research streams that are usually considered independently; namely, Active Inference and associative learning theories of animal behaviour. The former uses a probabilistic (Bayesian) formulation of perception and action, while the latter calls on multiple (Pavlovian, habitual, goal-directed) processes for homeostatic and behavioural control. We offer a synthesis these classical processes and cast them as successive hierarchical contextualisations of sensorimotor constructs, using the generative models that underpin Active Inference. This dissolves any apparent mechanistic distinction between the optimization processes that mediate classical control or learning. Furthermore, we generalize the scope of Active Inference by emphasizing interoceptive inference and homeostatic regulation. The ensuing homeostatic (or allostatic) perspective provides an intuitive explanation for how priors act as drives or goals to enslave action, and emphasises the embodied nature of inference.
Author Rigoli, Francesco
Friston, Karl
Pezzulo, Giovanni
AuthorAffiliation b Wellcome Trust, UCL, London, UK
a Institute of Cognitive Sciences and Technologies, National Research Council, Rome, Italy
AuthorAffiliation_xml – name: b Wellcome Trust, UCL, London, UK
– name: a Institute of Cognitive Sciences and Technologies, National Research Council, Rome, Italy
Author_xml – sequence: 1
  givenname: Giovanni
  orcidid: 0000-0001-6813-8282
  surname: Pezzulo
  fullname: Pezzulo, Giovanni
– sequence: 2
  givenname: Francesco
  surname: Rigoli
  fullname: Rigoli, Francesco
– sequence: 3
  givenname: Karl
  orcidid: 0000-0001-7984-8909
  surname: Friston
  fullname: Friston, Karl
BackLink https://www.ncbi.nlm.nih.gov/pubmed/26365173$$D View this record in MEDLINE/PubMed
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Keywords Pavlovian control
Active Inference
Homeostatic regulation
Adaptive control
Model-based control
Model-free control
Language English
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Snippet We review a theory of homeostatic regulation and adaptive behavioural control within the Active Inference framework. Our aim is to connect two research streams...
• An Active Inference account of homeostatic regulation and behavioural control. • Pavlovian, habitual and goal-directed behaviours explained with one scheme....
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SubjectTerms Animals
Association Learning - physiology
Behavior - physiology
Brain - physiology
Homeostasis - physiology
Humans
Models, Neurological
Models, Psychological
Title Active Inference, homeostatic regulation and adaptive behavioural control
URI https://www.ncbi.nlm.nih.gov/pubmed/26365173
https://www.proquest.com/docview/1735910537
https://pubmed.ncbi.nlm.nih.gov/PMC4779150
Volume 134
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