Results 61 to 70 of about 4,744,312 (322)
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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Generative models for sequential dynamics in active inference
Cognitive Neurodynamics, 2023 A central theme of theoretical neurobiology is that most of our cognitive operations require processing of discrete sequences of items. This processing in turn emerges from continuous neuronal dynamics.
Thomas Parr, K. Friston, G. Pezzulo
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Active inference and agency [PDF]
Cognitive Neuroscience, 2014 I greatly enjoyed Seth's compelling synthesis of sensorimotor contingencies and active inference. I would also like to thank Jim Hopkins for sending me the quote (below)-which speaks directly to the embodied nature of perceptual inference that underlies the perspectives reconciled in Seth (this issue).
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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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Representation Wars: Enacting an Armistice Through Active Inference
Frontiers in Psychology, 2021 Over the last 30 years, representationalist and dynamicist positions in the philosophy of cognitive science have argued over whether neurocognitive processes should be viewed as representational or not.
Axel Constant +4 more
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Frontiers in Neurorobotics, 2023 Although the increase in the use of dynamical modeling in the literature on cultural evolution makes current models more mathematically sophisticated, these models have yet to be tested or validated.
Natalie Kastel +3 more
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Uncertainty, epistemics and active inference [PDF]
Journal of The Royal Society Interface, 2017 Biological systems—like ourselves—are constantly faced with uncertainty. Despite noisy sensory data, and volatile environments, creatures appear to actively maintain their integrity. To account for this remarkable ability to make optimal decisions in the face of a capricious world, we propose a generative model that represents the beliefs ...
Thomas Parr, Karl J. Friston
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Neuroscience of Consciousness, 2021 Meta-awareness refers to the capacity to explicitly notice the current content of consciousness and has been identified as a key component for the successful control of cognitive states, such as the deliberate direction of attention.
L. Sandved-Smith +5 more
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Action understanding and active inference [PDF]
Biological Cybernetics, 2011 We have suggested that the mirror-neuron system might be usefully understood as implementing Bayes-optimal perception of actions emitted by oneself or others. To substantiate this claim, we present neuronal simulations that show the same representations can prescribe motor behavior and encode motor intentions during action-observation.
Friston, Karl +2 more
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Sustainability under Active Inference
SystemsIn this paper, we explore the known connection among sustainability, resilience, and well-being within the framework of active inference. Initially, we revisit how the notions of well-being and resilience intersect within active inference before defining
Mahault Albarracin +7 more
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