Learning action-oriented models through active inference.
Converging theories suggest that organisms learn and exploit probabilistic models of their environment. However, it remains unclear how such models can be learned in practice. The open-ended complexity of natural environments means that it is generally infeasible for organisms to model their environ...
Main Authors: | Alexander Tschantz, Anil K Seth, Christopher L Buckley |
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Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2020-04-01
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Series: | PLoS Computational Biology |
Online Access: | https://doi.org/10.1371/journal.pcbi.1007805 |
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