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Active inference and learning [PDF]

open access: yesNeuroscience and 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.
Giovanni Pezzulo   +2 more
exaly   +8 more sources

Active inference, communication and hermeneutics

open access: yesCortex, 2015
Hermeneutics refers to interpretation and translation of text (typically ancient scriptures) but also applies to verbal and non-verbal communication. In a psychological setting it nicely frames the problem of inferring the intended content of a communication.
Karl Friston, Chris Frith
exaly   +4 more sources
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To be or not to be: The active inference of suicide

Neuroscience & Biobehavioral Reviews
Suicide presents an apparent paradox as a behavior whose motivation is not obvious since its outcome is non-existence and cannot be experienced. To address this paradox, we propose to frame suicide in the integrated theory of stress and active inference.
Valery, Krupnik, Nadia, Danilova
openaire   +2 more sources

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 ...
Petr Anokhin   +3 more
openaire   +3 more sources

What Type of Inference is Active Inference?

Active inference casts decision-making as inference, with the Expected Free Energy (EFE) unifying goal-directed and information-seeking behavior. Recent work showed that EFE minimization can be written as Variational Free Energy (VFE) minimization on a generative model augmented with epistemic priors. We prove that the VFE of the augmented model can be
Nuijten, Wouter W. L.   +3 more
openaire   +1 more source

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
openaire   +3 more sources

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