Results 51 to 60 of about 4,744,312 (322)
Canonical neural networks perform active inference
Communications Biology, 2022 Takuya Isomura, Hideaki Shimazaki and Karl Friston perform mathematical analysis to show that neural networks implicitly perform active inference and learning to minimise the risk associated with future outcomes.
Takuya Isomura +2 more
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Enactive-Dynamic Social Cognition and Active Inference
Frontiers in Psychology, 2022 This aim of this paper is two-fold: it critically analyses and rejects accounts blending active inference as theory of mind and enactivism; and it advances an enactivist-dynamic understanding of social cognition that is compatible with active inference ...
Inês Hipólito +2 more
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Schizophrenia bulletin, 2023 BACKGROUND AND HYPOTHESIS Active inference has become an influential concept in psychopathology. We apply active inference to investigate conceptual disorganization in first-episode schizophrenia.
R. Limongi +4 more
semanticscholar +1 more source
, 2023 The world consists of objects: distinct entities possessing independent properties and dynamics. For agents to interact with the world intelligently, they must translate sensory inputs into the bound-together features that describe each object. These object-based representations form a natural basis for planning behavior.
van Bergen, Ruben S., Lanillos, Pablo
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Active Inference, Curiosity and Insight [PDF]
Neural Computation, 2017 This article offers a formal account of curiosity and insight in terms of active (Bayesian) inference. It deals with the dual problem of inferring states of the world and learning its statistical structure. In contrast to current trends in machine learning (e.g., deep learning), we focus on how people attain insight and understanding using just a ...
Friston Karl J +5 more
openaire +4 more sources
Expanding the Active Inference Landscape: More Intrinsic Motivations in the Perception-Action Loop
Frontiers in Neurorobotics, 2018 Active inference is an ambitious theory that treats perception, inference, and action selection of autonomous agents under the heading of a single principle.
Martin Biehl +6 more
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Integrating cognitive map learning and active inference for planning in ambiguous environments [PDF]
International Workshop on Affective Interactions, 2023 Living organisms need to acquire both cognitive maps for learning the structure of the world and planning mechanisms able to deal with the challenges of navigating ambiguous environments. Although significant progress has been made in each of these areas
Toon Van de Maele +3 more
semanticscholar +1 more source
A Variational Synthesis of Evolutionary and Developmental Dynamics
Entropy, 2023 This paper introduces a variational formulation of natural selection, paying special attention to the nature of ‘things’ and the way that different ‘kinds’ of ‘things’ are individuated from—and influence—each other.
Karl Friston +6 more
doaj +1 more source
Deep Active Inference and Scene Construction
Frontiers in Artificial Intelligence, 2020 Adaptive agents must act in intrinsically uncertain environments with complex latent structure. Here, we elaborate a model of visual foraging—in a hierarchical context—wherein agents infer a higher-order visual pattern (a “scene”) by sequentially ...
R. Conor Heins +11 more
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Active inference and the two-step task
Scientific Reports, 2022 Sequential decision problems distill important challenges frequently faced by humans. Through repeated interactions with an uncertain world, unknown statistics need to be learned while balancing exploration and exploitation.
Sam Gijsen +2 more
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