Results 11 to 20 of about 139,336 (244)
Resilience and active inference
Frontiers in Psychology, 2022 In this article, we aim to conceptualize and formalize the construct of resilience using the tools of active inference, a new physics-based modeling approach apt for the description and analysis of complex adaptive systems. We intend this as a first step
Mark Miller +14 more
doaj +4 more sources
Active Inference and Auditory Hallucinations [PDF]
Computational Psychiatry, 2018 Auditory verbal hallucinations (AVH) are often distressing symptoms of several neuropsychiatric conditions, including schizophrenia. Using a Markov decision process formulation of active inference, we develop a novel model of AVH as false (positive ...
David Benrimoh +4 more
doaj +7 more sources
Active Inferants: An Active Inference Framework for Ant Colony Behavior [PDF]
Frontiers in Behavioral Neuroscience, 2021 In this paper, we introduce an active inference model of ant colony foraging behavior, and implement the model in a series of in silico experiments. Active inference is a multiscale approach to behavioral modeling that is being applied across settings in
Daniel Ari Friedman +9 more
doaj +6 more sources
Dopamine, affordance and active inference.
PLoS Computational Biology, 2012 The role of dopamine in behaviour and decision-making is often cast in terms of reinforcement learning and optimal decision theory. Here, we present an alternative view that frames the physiology of dopamine in terms of Bayes-optimal behaviour.
Karl J Friston +9 more
doaj +9 more sources
Understanding, Explanation, and Active Inference [PDF]
Frontiers in Systems Neuroscience, 2021 While machine learning techniques have been transformative in solving a range of problems, an important challenge is to understand why they arrive at the decisions they output.
Thomas Parr, Giovanni Pezzulo
doaj +3 more sources
From pixels to planning: scale-free active inference [PDF]
Frontiers in Network PhysiologyThis paper describes a discrete state-space model and accompanying methods for generative modeling. This model generalizes partially observed Markov decision processes to include paths as latent variables, rendering it suitable for active inference and ...
Karl Friston +13 more
doaj +2 more sources
Conscious active inference I: A quantum model naturally implements the path integral needed for real-time planning and control [PDF]
Computational and Structural Biotechnology JournalActive inference is a general framework for optimizing the behavior and learning of a sentient agential system. It may be interpreted as a general theory of sentient behavior and has been used to quantitatively model a wide variety of perceptual and ...
Michael C. Wiest, Arjan Singh Puniani
doaj +2 more sources
As One and Many: Relating Individual and Emergent Group-Level Generative Models in Active Inference [PDF]
EntropyActive inference under the Free Energy Principle has been proposed as an across-scales compatible framework for understanding and modelling behaviour and self-maintenance.
Peter Thestrup Waade +6 more
doaj +2 more sources
Scaling Active Inference [PDF]
2020 International Joint Conference on Neural Networks (IJCNN), 2020 In reinforcement learning (RL), agents often operate in partially observed and uncertain environments. Model-based RL suggests that this is best achieved by learning and exploiting a probabilistic model of the world. 'Active inference' is an emerging normative framework in cognitive and computational neuroscience that offers a unifying account of how ...
Alexander Tschantz +3 more
openaire +2 more sources
Hunter–gatherer foraging networks promote information transmission
Royal Society Open Science, 2021 Central-place foraging (CPF), where foragers return to a central location (or home), is a key feature of hunter–gatherer social organization. CPF could have significantly changed hunter–gatherers’ spatial use and mobility, altered social networks and ...
Ketika Garg +3 more
doaj +1 more source