Abstract
Abstract
Allostatic active inference is the name for the integrated processing that optimizes organismic function. It derives from the idea that, in order to maintain viability, organisms must implement a model that predicts the consequences of regulatory action. Bodily and affective experiences inform the subject of degree and nature of regulatory success and failure. The avatar is modelled as the entity whose experiences change as a result of internally generated action. It is both source and target of regulation. Predictive processing is a neurocomputational implementation of these ideas, providing testable hypotheses about the nature of neurocognitive processes.
Publisher
Oxford University PressOxford
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