Results 31 to 40 of about 649,550 (269)
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
openaire +3 more sources
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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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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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
doaj +1 more source
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
doaj +1 more source
Optimal inference with suboptimal models:Addiction and active Bayesian inference [PDF]
, 2014 When casting behaviour as active (Bayesian) inference, optimal inference is defined with respect to an agent's beliefs - based on its generative model of the world.
Adams +89 more
core +2 more sources
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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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
openaire +2 more sources
Active Topology Inference using Network Coding [PDF]
, 1998 Our goal is to infer the topology of a network when (i) we can send probes between sources and receivers at the edge of the network and (ii) intermediate nodes can perform simple network coding operations, i.e., additions.
Buchbinder, E.I. +3 more
core +3 more sources