Journal
PROGRESS IN NEUROBIOLOGY
Volume 134, Issue -, Pages 17-35Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.pneurobio.2015.09.001
Keywords
Active Inference; Homeostatic regulation; Adaptive control; Model-based control; Model-free control; Pavlovian control
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Funding
- EU's FP7 Initiative [FP7-270108]
- HFSP [RGY0088/2014]
- Wellcome Trust Principal Research Fellowship [088130/Z/09/Z]
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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. (C) 2015 The Authors. Published by Elsevier Ltd.
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