Results 41 to 50 of about 5,838,744 (309)
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
Reward Maximization Through Discrete Active Inference
Neural Computation, 2023 Active inference is a probabilistic framework for modeling the behavior of biological and artificial agents, which derives from the principle of minimizing free energy.
Lancelot Da Costa +4 more
semanticscholar +1 more source
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.
Mirza, M. Berk +3 more
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Resilience as the Ability to Maintain Well-Being: An Allostatic Active Inference Model
Journal of Intelligence, 2023 Resilience is often characterized as the outcome of well-being maintenance despite threats to that well-being. We suggest that resilience can also be characterized as an emotional-intelligence-related ability to obtain this outcome.
Christian E. Waugh, Anthony W. Sali
semanticscholar +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
An Active-Inference Approach to Second-Person Neuroscience
Perspectives on Psychological Science, 2023 Social neuroscience has often been criticized for approaching the investigation of the neural processes that enable social interaction and cognition from a passive, detached, third-person perspective, without involving any real-time social interaction ...
K. Lehmann +5 more
semanticscholar +1 more source
Equilibrium in the Computing Continuum through Active Inference [PDF]
Future generations computer systems, 2023 Computing Continuum (CC) systems are challenged to ensure the intricate requirements of each computational tier. Given the system's scale, the Service Level Objectives (SLOs) which are expressed as these requirements, must be broken down into smaller ...
Boris Sedlak +3 more
semanticscholar +1 more source
Biological Cybernetics, 2018 This work combines the free energy principle from cognitive neuroscience and the ensuing active inference dynamics with recent advances in variational inference in deep generative models, and evolution strategies to introduce the "deep active inference" agent.
openaire +4 more sources
Active inference and learning [PDF]
Neuroscience & Biobehavioral Reviews, 2016 This paper offers an active inference account of choice behaviour and learning. It focuses on the distinction between goal-directed and habitual behaviour and how they contextualise each other. We show that habits emerge naturally (and autodidactically) from sequential policy optimisation when agents are equipped with state-action policies.
Friston, Karl +5 more
openaire +7 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