Extended active inference

Constructing predictive cognition beyond skulls

Datos Bibliográficos

ID21501838
AutoresAxel Constant (0000-0002-1547-8803, Charles Perkins Centre The University of Sydney Sydney New South Wales Australia, autor de correspondencia), Andrew Clark (0000-0002-2983-4469, Department of Philosophy The University of Sussex Brighton UK), Andy Clark (0000-0002-1233-8629, University of Sussex), Michael D Kirchhoff (0000-0002-2530-0718, Department of Philosophy University of Wollongong Wollongong New South Wales Australia), Karl J Friston (0000-0001-7984-8909, Culture, Mind, and Brain Program McGill University Montreal Quebec Canada)
Año2022
Volumen37
Número3
Páginas373-394
Fecha de publicación2022-06-01
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaMind & Language (JOURNAL)
Identificadores de la revistaISSN: 0268-1064 • E-ISSN: 1468-0017
EditorialWiley (PUBLISHER • GB)
DOI10.1111/mila.12330
PMID35875359
OpenAlexW2995318065
IdiomaEN
Citas recibidas30
Referencias citadas62

Cognitive niche construction is the process whereby organisms create and maintain cause–effect models of their niche as guides for fitness influencing behavior. Extended mind theory claims that cognitive processes extend beyond the brain to include predictable states of the world. Active inference and predictive processing in cognitive science assume that organisms embody predictive (i.e., generative) models of the world optimized by standard cognitive functions (e.g., perception, action, learning). This paper presents an active inference formulation that views cognitive niche construction as a cognitive function aimed at optimizing organisms' generative models. We call that process of optimization extended active inference

Biology · Cognition · Cognitive psychology · Cognitive science · Generative grammar · Generative model · Inference · Machine learning · Niche construction · Perception · Action Observation and Synchronization · Computer Science · Embodied and Extended Cognition · Evolutionary Game Theory and Cooperation · Psychology · Artificial Intelligence · Ecology

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