Results 11 to 20 of about 3,716,129 (241)
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.
Anil. K. Seth +7 more
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Contrastive Active Inference [PDF]
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
Verbelen, Tim +2 more
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, 2022 The first comprehensive treatment of active inference, an integrative perspective on brain, cognition, and behavior used across multiple disciplines.
Parr, Thomas +2 more
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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-
Friston, KJ, Sajid, N, Ball, PJ, Parr, T
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Successor Representation Active Inference
CoRR, 2022 Recent work has uncovered close links between between classical reinforcement learning algorithms, Bayesian filtering, and Active Inference which lets us understand value functions in terms of Bayesian posteriors. An alternative, but less explored, model-
Millidge, Beren, Buckley, Christopher L
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CoRRInspired by the concept of active learning, we propose active inference$\unicode{x2013}$a methodology for statistical inference with machine-learning-assisted data collection.
Zrnic, Tijana, Candès, Emmanuel J.
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Active digital twins via active inference
Engineering Applications of Artificial IntelligenceDigital twins are transforming engineering and applied sciences by enabling real-time monitoring, simulation, and predictive analysis of physical systems and processes.
Maisto, Domenico +5 more
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, 2023 Transcript from livestream on July 25, 2023 at the Active Inference Institute. YouTube watch link: https://www.youtube.com/watch?v=dUXfgzKHV1c Repository with updated transcripts and accessory files: https://github.com/ActiveInferenceInstitute ...
Friedman, Daniel +2 more
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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 theoretical biology and ethology.
Daniel Ari Friedman +9 more
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Resilience and Active Inference
Frontiers in Psychology, 2022 In this paper, 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 towards a computational model of resilient systems.
Mark Miller +14 more
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