Results 21 to 30 of about 649,550 (269)

Conscious active inference I: A quantum model naturally implements the path integral needed for real-time planning and control [PDF]

Computational and Structural Biotechnology Journal
Active 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

From pixels to planning: scale-free active inference [PDF]

Frontiers in Network Physiology
This 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, Karl Friston, Conor Heins, Tim Verbelen, Lancelot Da Costa, Lancelot Da Costa, Tommaso Salvatori, Dimitrije Markovic, Dimitrije Markovic, Alexander Tschantz, Magnus Koudahl, Christopher Buckley, Christopher Buckley, Thomas Parr   +13 more
doaj   +2 more sources

As One and Many: Relating Individual and Emergent Group-Level Generative Models in Active Inference [PDF]

Entropy
Active 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, Christoffer Lundbak Olesen, Jonathan Ehrenreich Laursen, Samuel William Nehrer, Conor Heins, Karl Friston, Christoph Mathys   +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, Manuel Baltieri, Anil K. Seth, Christopher L. Buckley   +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, Cecilia Padilla-Iglesias, Nicolás Restrepo Ochoa, V. Bleu Knight   +3 more
doaj   +1 more source

Contrastive Active Inference

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, Tim Verbelen, Bart Dhoedt   +2 more
openaire   +4 more sources

Accessing Active Inference Theory through Its Implicit and Deliberative Practice in Human Organizations

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
doaj   +1 more source

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, Philip J. Ball, Thomas Parr, Karl J. Friston   +3 more
openaire   +4 more sources

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, Daphne Demekas, Maxwell J. D. Ramstead, Conor Heins   +3 more
doaj   +1 more source

Learning perception and planning with deep active inference [PDF]

, 2020
Active inference is a process theory of the brain that states that all living organisms infer actions in order to minimize their (expected) free energy. However, current experiments are limited to predefined, often discrete, state spaces.
Catal, Ozan, De Boom, Cedric, Dhoedt, Bart, Nauta, Johannes, Verbelen, Tim   +4 more
core   +2 more sources