Results 21 to 30 of about 139,336 (244)
CoRR, 2021 Active inference is a unifying theory for perception and action resting upon the idea that the brain maintains an internal model of the world by minimizing free energy. From a behavioral perspective, active inference agents can be seen as self-evidencing beings that act to fulfill their optimistic predictions, namely preferred outcomes or goals.
Pietro Mazzaglia +2 more
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Entropy, 2021 Active inference theory (AIT) is a corollary of the free-energy principle, which formalizes cognition of living system’s autopoietic organization. AIT comprises specialist terminology and mathematics used in theoretical neurobiology.
Stephen Fox
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Active Inference: Demystified and Compared [PDF]
Neural Computation, 2021 Active inference is a first principle account of how autonomous agents operate in dynamic, nonstationary environments. This problem is also considered in reinforcement learning, but limited work exists on comparing the two approaches on the same discrete-state environments.
Noor Sajid +3 more
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Epistemic Communities under Active Inference
Entropy, 2022 The spread of ideas is a fundamental concern of today’s news ecology. Understanding the dynamics of the spread of information and its co-option by interested parties is of critical importance.
Mahault Albarracin +3 more
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Chance-Constrained Active Inference [PDF]
Neural Computation, 2021 Abstract Active inference (ActInf) is an emerging theory that explains perception and action in biological agents in terms of minimizing a free energy bound on Bayesian surprise. Goal-directed behavior is elicited by introducing prior beliefs on the underlying generative model.
Thijs van de Laar +3 more
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Impulsivity and Active Inference [PDF]
Journal of Cognitive Neuroscience, 2019 This paper characterizes impulsive behavior using a patch-leaving paradigm and active inference—a framework for describing Bayes optimal behavior. This paradigm comprises different environments (patches) with limited resources that decline over time at different rates.
M. Berk Mirza +3 more
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Active Inference for Stochastic Control [PDF]
, 2021 12 pages, 5 figures, Accepted presentation at IWAI-2021 (ECML-PKDD)
Aswin Paul +3 more
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Entropy, 2021 Active inference is a physics of life process theory of perception, action and learning that is applicable to natural and artificial agents. In this paper, active inference theory is related to different types of practice in social organization.
Stephen Fox
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Contextual perception under active inference
Scientific Reports, 2021 Human social interactions depend on the ability to resolve uncertainty about the mental states of others. The context in which social interactions take place is crucial for mental state attribution as sensory inputs may be perceived differently depending
M. Berk Mirza +4 more
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Active Inference: A Process Theory [PDF]
Neural Computation, 2017 This article describes a process theory based on active inference and belief propagation. Starting from the premise that all neuronal processing (and action selection) can be explained by maximizing Bayesian model evidence—or minimizing variational free energy—we ask whether neuronal responses can be described as a gradient descent on variational free
Karl John Friston +4 more
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