Results 31 to 40 of about 139,336 (244)
Biological Cybernetics, 2018 This work combines the free energy principle from cognitive neuroscience and the ensuing active inference dynamics with recent advances in variational inference in deep generative models, and evolution strategies to introduce the "deep active inference" agent.
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Active Inference or Control as Inference? A Unifying View [PDF]
, 2020 Active inference (AI) is a persuasive theoretical framework from computational neuroscience that seeks to describe action and perception as inference-based computation. However, this framework has yet to provide practical sensorimotor control algorithms that are competitive with alternative approaches.
Joe Watson +2 more
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Flexible intentions: An Active Inference theory
Frontiers in Computational Neuroscience, 2023 We present a normative computational theory of how the brain may support visually-guided goal-directed actions in dynamically changing environments. It extends the Active Inference theory of cortical processing according to which the brain maintains ...
Matteo Priorelli, Ivilin Peev Stoianov
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On the Relationship Between Active Inference and Control as Inference [PDF]
, 2020 Active Inference (AIF) is an emerging framework in the brain sciences which suggests that biological agents act to minimise a variational bound on model evidence. Control-as-Inference (CAI) is a framework within reinforcement learning which casts decision making as a variational inference problem.
Beren Millidge +3 more
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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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CoRR, 2018 We describe a framework of hybrid cognition by formulating a hybrid cognitive agent that performs hierarchical active inference across a human and a machine part. We suggest that, in addition to enhancing human cognitive functions with an intelligent and adaptive interface, integrated cognitive processing could accelerate emergent properties within ...
André Ofner, Sebastian Stober
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, 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.
Ruben S. van Bergen, Pablo Lanillos
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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 ...
Karl J. Friston +5 more
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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
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