Results 51 to 60 of about 3,696,970 (268)
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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Visual Search as Active Inference [PDF]
, 2020 Visual search is an essential cognitive ability, offering a prototypical control problem to be addressed with Active Inference. Under a Naive Bayes assumption, the maximization of the information gain objective is consistent with the separation of the visual sensory flow in two independent pathways, namely the “What” and the “Where” pathways.
Daucé, Emmanuel, Perrinet, Laurent U
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Frontiers in SociologyGeneral intelligence enables flexible problem solving across diverse contexts by minimizing uncertainty. Symbolic systems such as language extend this capacity, allowing humans to build social groups and construct world models beyond typical biological ...
Shagor Rahman, Andrew Pashea
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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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The Embodied Hijack: when Pleistocene minds meet disembodied artificial intelligence
Frontiers in PsychologyThe rapid integration of artificial intelligence into everyday life has intensified a long-standing feature of human cognition: the attribution of agency, intention, and understanding to nonhuman systems.
Sheila L. Macrine, Sheila L. Macrine
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The Free Energy Principle for Perception and Action: A Deep Learning Perspective
Entropy, 2022 The free energy principle, and its corollary active inference, constitute a bio-inspired theory that assumes biological agents act to remain in a restricted set of preferred states of the world, i.e., they minimize their free energy. Under this principle,
Pietro Mazzaglia +3 more
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Active inference in collective intelligence
, 2021 This project, undertaken in the contexte of the Active Inference Lab, seeks to study the dynamics of collective intelligence from an active inference perspective.
Virginia Bleu Knight +2 more
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Active Inference is a Subtype of Variational Inference
CoRRAutomated decision-making under uncertainty requires balancing exploitation and exploration. Classical methods treat these separately using heuristics, while Active Inference unifies them through Expected Free Energy (EFE) minimization. However, EFE minimization is computationally expensive, limiting scalability. We build on recent theory recasting EFE
Wouter W. L. Nuijten, Mykola Lukashchuk
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EntropyThe Thoughtseeds Framework introduces a novel computational approach to modeling thought dynamics in meditative states, conceptualizing thoughtseeds as dynamic attentional agents that integrate information.
Prakash Chandra Kavi +3 more
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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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