Results 241 to 250 of about 3,696,970 (268)

A hierarchical active inference model of spatial alternation tasks and the hippocampal-prefrontal circuit. [PDF]

Nat Commun
Van de Maele T, Dhoedt B, Verbelen T, Pezzulo G.   +3 more
europepmc   +1 more source

Integration of Sense and Control for Uncertain Systems Based on Delayed Feedback Active Inference. [PDF]

Entropy (Basel)
Ji M, Pan K, Zhang X, Pan Q, Dai X, Lyu Y.   +5 more
europepmc   +1 more source

An active inference strategy for prompting reliable responses from large language models in medical practice. [PDF]

NPJ Digit Med
Shusterman R, Waters AC, O'Neill S, Bangs M, Luu P, Tucker DM.   +5 more
europepmc   +1 more source

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. Some have argued that this necessitates augmenting machine intelligence with understanding such that, when queried, a machine is able to explain its behaviour (i.e., explainable
Thomas Parr, Giovanni Pezzulo, Parr Thomas   +2 more
exaly   +5 more sources

Active inference and learning [PDF]

Neuroscience 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.
Giovanni Pezzulo, Karl Friston, Philipp Schwartenbeck   +2 more
exaly   +10 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.
Maxwell J D Ramstead, Mahault Albarracin, Ramstead Maxwell J D   +2 more
exaly   +3 more sources

Dopamine, reward learning, and active inference

Frontiers in Computational Neuroscience, 2015
Temporal difference learning models propose phasic dopamine signalling encodes reward prediction errors that drive learning. This is supported by studies where optogenetic stimulation of dopamine neurons can stand in lieu of actual reward.
Karl Friston, Ray Dolan, Thomas Fitzgerald   +2 more
exaly   +3 more sources

Uncertainty, epistemics and active inference [PDF]

Journal of the Royal Society Interface, 2017
Abstract Biological systems—like ourselves—are constantly faced with uncertainty. Despite noisy sensory data, and volatile environments, creatures appear to actively maintain their integrity. To account for this remarkable ability to make optimal decisions in the face of a capricious world, we propose a generative model that ...
Thomas Parr, Karl Friston
exaly   +4 more sources

Active inference, communication and hermeneutics

Cortex, 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