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  5. How active inference could help revolutionise robotics
 
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How active inference could help revolutionise robotics
File(s)
How Active Inference Could Help Revolutionise Robotics.pdf (1.09 MB)
Published version
Author(s)
Da Costa, Lancelot
Lanillos, Pablo
Sajid, Noor
Friston, Karl
Khan, Shujhat
Type
Journal Article
Abstract
Recent advances in neuroscience have characterised brain function using mathematical formalisms and first principles that may be usefully applied elsewhere. In this paper, we explain how active inference—a well-known description of sentient behaviour from neuroscience—can be exploited in robotics. In short, active inference leverages the processes thought to underwrite human behaviour to build effective autonomous systems. These systems show state-of-the-art performance in several robotics settings; we highlight these and explain how this framework may be used to advance robotics.
Date Issued
2022-03-01
Date Acceptance
2022-02-28
Citation
Entropy: international and interdisciplinary journal of entropy and information studies, 2022, 24 (3), pp.1-7
URI
http://hdl.handle.net/10044/1/100868
URL
https://www.mdpi.com/1099-4300/24/3/361
DOI
https://www.dx.doi.org/10.3390/e24030361
ISSN
1099-4300
Publisher
MDPI AG
Start Page
1
End Page
7
Journal / Book Title
Entropy: international and interdisciplinary journal of entropy and information studies
Volume
24
Issue
3
Copyright Statement
© 2022 by the authors.
Licensee MDPI, Basel, Switzerland.
This article is an open access article
distributed under the terms and
conditions of the Creative Commons
Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
License URL
http://creativecommons.org/licenses/by/4.0/
Identifier
https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000775619000001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
Subjects
Science & Technology
Physical Sciences
Physics, Multidisciplinary
Physics
free energy
model-based control
adaptive robots
generative model
Bayesian inference
filtering
neurotechnology
FREE-ENERGY PRINCIPLE
NEURAL-NETWORKS
Publication Status
Published
Article Number
ARTN 361
Date Publish Online
2022-03-02
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