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The Active Inference Approach to Ecological Perception: General Information Dynamics for Natural and Artificial Embodied Cognition

2018

The emerging neurocomputational vision of humans as embodied, ecologically embedded, social agents – who shape and are shaped by their environment – offers a golden opportunity to revisit and revise ideas about the physical and information-theoretic underpinnings of life, mind, and consciousness itself. In particular, the active inference framework (AIF) makes it possible to bridge connections from computational neuroscience and robotics/AI to ecological psychology and phenomenology, revealing common underpinnings and overcoming key limitations. AIF opposes the mechanistic to the reductive, while staying fully grounded in a naturalistic and information theoretic foundation, using the princi…

0301 basic medicineComputer sciencemedia_common.quotation_subjectlcsh:Mechanical engineering and machineryaffordancesInferencelcsh:QA75.5-76.9503 medical and health sciences0302 clinical medicineArtificial IntelligencePerceptionHypothesis and TheoryEcological psychologyevolutionlcsh:TJ1-1570AffordanceuncertaintyFrame problemmedia_commonembodimentSelf-organizationCognitive scienceRobotics and AIfree energyself-organizationframe problemComputer Science Applications030104 developmental biologyEmbodied cognitionlcsh:Electronic computers. Computer scienceConsciousnessskilled expertiseB1030217 neurology & neurosurgeryFrontiers in Robotics and AI
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