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The Active Inference Institute & Active Inference Ecosystem

This document surveys the current state of The Active Inference Institute and The Active Inference Ecosystem, in the context of our current and future directions. As embodied agents, we aim to update our decisions, goals and predictions as an institute by actively gathering (sampling) insights (observations) from our members.
Active Inference Institute, Vyatkin, Alex, Mikhailova, Alexandra, Hiott, Andrea, Pashea, Andrew, Elers, Ben, Berkers, Bert, Knight, Bleu, Fields, Chris, Whittet, Dan, Friedman, Daniel, Ticklẽs, Déan, Paterson, Fraser, Stubbs, Gareth, Grimm, Holly, Smekal, Jakub, Cooper, Jeremy, Boik, John, Burian, Libor, Albarracin, Mahault, Iennaco, Maria Luiza, Brown, Matthew, Thacker, Mick, Gilli, Peter, Kaufmann, Rafael, Cordes, RJ, Henry, Ryan, Ramesh, Sandeep, David, Scott, Alvarado, Sebastian, Baker, Zach   +30 more
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Associative Learning and Active Inference

Neural Computation
Abstract Associative learning is a behavioral phenomenon in which individuals develop connections between stimuli or events based on their co-occurrence. Initially studied by Pavlov in his conditioning experiments, the fundamental principles of learning have been expanded on through the discovery of a wide range of learning phenomena ...
Anokhin, Petr, Sorokin, Artyom, Burtsev, Mikhail, Friston, Karl   +3 more
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Active inference and epistemic value

Cognitive Neuroscience, 2015
We offer a formal treatment of choice behavior based on the premise that agents minimize the expected free energy of future outcomes. Crucially, the negative free energy or quality of a policy can be decomposed into extrinsic and epistemic (or intrinsic) value.
Friston, K., Rigoli, F., Ognibene, D., Mathys, Christoph Daniel, Fitzgerald, T., Pezzulo, G.   +5 more
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Meta-learning in active inference

Behavioral and Brain Sciences
Abstract Binz et al. propose meta-learning as a promising avenue for modelling human cognition. They provide an in-depth reflection on the advantages of meta-learning over other computational models of cognition, including a sound discussion on how their proposal can accommodate neuroscientific insights.
O. Penacchio, A. Clemente
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Active Inference: The Free Energy Principle in Mind, Brain, and Behaviour

Landscape Journal, 2023
David Jacques
semanticscholar   +1 more source

COGNITIVE INFERENCE IN PERCEPTUAL ACTIVITY

British Journal of Psychology, 1957
Whenever sensory data are scanty or ambiguous, or incongruities occur in perceptual situation, observers tend to employ processes of inferential thinking to arrive at satisfactory identifications., Such inferential thinking also appears when observer is called upon to make accurate judgements about events which ordinarily might not be closely observed.
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Active inference and free energy

Behavioral and Brain Sciences, 2013
AbstractWhy do brains have so many connections? The principles exposed by Andy Clark provide answers to questions like this by appealing to the notion that brains distil causal regularities in the sensorium and embody them in models of their world. For example, connections embody the fact that causes have particular consequences.
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The empirical status of predictive coding and active inference

Neuroscience and Biobehavioral Reviews, 2023
Rowan Hodson, M. Mehta, Ryan Smith
semanticscholar   +1 more source

A beautiful loop: An active inference theory of consciousness

Neuroscience and Biobehavioral Reviews
Ruben Laukkonen, Karl J. Friston, Shamil Chandaria   +2 more
semanticscholar   +1 more source

Gene regulatory network inference in the era of single-cell multi-omics

Nature Reviews Genetics, 2023
Pau Badia-i-Mompel, , Sophia Müller-Dott   +2 more
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