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A beautiful loop: An active inference theory of consciousness.
Neuroscience and Biobehavioral ReviewsCan active inference model consciousness? We offer three conditions implying that it can. The first condition is the simulation of a world model, which determines what can be known or acted upon; namely an epistemic field.
Ruben Laukkonen +2 more
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Blind Image Quality Assessment With Active Inference
IEEE Transactions on Image Processing, 2021Blind image quality assessment (BIQA) is a useful but challenging task. It is a promising idea to design BIQA methods by mimicking the working mechanism of human visual system (HVS). The internal generative mechanism (IGM) indicates that the HVS actively
Jupo Ma +6 more
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IEEE Transactions on Mobile Computing
With the increasing popularity and demands for large language model applications on mobile devices, it is difficult for resource-limited mobile terminals to run large-model inference tasks efficiently.
Ying He, Jingcheng Fang, F. Yu, V. Leung
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With the increasing popularity and demands for large language model applications on mobile devices, it is difficult for resource-limited mobile terminals to run large-model inference tasks efficiently.
Ying He, Jingcheng Fang, F. Yu, V. Leung
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Active Inference and Intentional Behaviour
arXiv.org, 2023Recent advances in theoretical biology suggest that basal cognition and sentient behaviour are emergent properties of in vitro cell cultures and neuronal networks, respectively.
Karl J. Friston +12 more
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Active Inference as a Model of Agency
arXiv.orgIs there a canonical way to think of agency beyond reward maximisation? In this paper, we show that any type of behaviour complying with physically sound assumptions about how macroscopic biological agents interact with the world canonically integrates ...
Lancelot Da Costa +3 more
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On the minimal theory of consciousness implicit in active inference.
Physics of Life ReviewsThe multifaceted nature of subjective experience poses a challenge to the study of consciousness. Traditional neuroscientific approaches often concentrate on isolated facets, such as perceptual awareness or the global state of consciousness and construct
Christopher J. Whyte +8 more
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Dynamic planning in hierarchical active inference
Neural NetworksBy dynamic planning, we refer to the ability of the human brain to infer and impose motor trajectories related to cognitive decisions. A recent paradigm, active inference, brings fundamental insights into the adaptation of biological organisms ...
Matteo Priorelli, Ivilin Peev Stoianov
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Predictive Inference Activation
Swiss Journal of Psychology, 2012Predictive inferences are anticipations of what could happen next in the text we are reading. These inferences seem to be activated during reading, but a delay is necessary for their construction. To determine the length of this delay, we first used a classical word-naming task.
Doriane Gras +2 more
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2021
The free energy principle and its corollary, active inference, were introduced by Karl Friston as an explanation embodied perception and action in neuroscience, and since, it has been used to address many other issues in different fields mainly related to cognitive science like learning, optimal decision, or interpersonal inference.
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The free energy principle and its corollary, active inference, were introduced by Karl Friston as an explanation embodied perception and action in neuroscience, and since, it has been used to address many other issues in different fields mainly related to cognitive science like learning, optimal decision, or interpersonal inference.
openaire +3 more sources
The Active Inference Institute & Active Inference Ecosystem
This document surveys the current state of The Active Inference Institute and The Active Inference Ecosystem, in the context of our current and future directions. As embodied agents, we aim to update our decisions, goals and predictions as an institute by actively gathering (sampling) insights (observations) from our members.Active Inference Institute +30 more
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