Applying the Free-Energy Principle to Complex Adaptive Systems

The free energy principle is a mathematical theory of the behaviour of self-organising systems that originally gained prominence as a unified model of the brain. Since then, the theory has been applied to a plethora of biological phenomena, extending from single-celled and multicellular organisms th...

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Year of Publication:2022
Language:English
Physical Description:1 electronic resource (214 p.)
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spelling Badcock, Paul edt
Applying the Free-Energy Principle to Complex Adaptive Systems
Basel MDPI - Multidisciplinary Digital Publishing Institute 2022
1 electronic resource (214 p.)
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
The free energy principle is a mathematical theory of the behaviour of self-organising systems that originally gained prominence as a unified model of the brain. Since then, the theory has been applied to a plethora of biological phenomena, extending from single-celled and multicellular organisms through to niche construction and human culture, and even the emergence of life itself. The free energy principle tells us that perception and action operate synergistically to minimize an organism’s exposure to surprising biological states, which are more likely to lead to decay. A key corollary of this hypothesis is active inference—the idea that all behavior involves the selective sampling of sensory data so that we experience what we expect to (in order to avoid surprises). Simply put, we act upon the world to fulfill our expectations. It is now widely recognized that the implications of the free energy principle for our understanding of the human mind and behavior are far-reaching and profound. To date, however, its capacity to extend beyond our brain—to more generally explain living and other complex adaptive systems—has only just begun to be explored. The aim of this collection is to showcase the breadth of the free energy principle as a unified theory of complex adaptive systems—conscious, social, living, or not.
English
Information technology industries bicssc
Computer science bicssc
message passing
metabolism
Bayesian
stochastic
non-equilibrium
master equations
cancer niches
free energy
Kikuchi approximations
apoptosis
metastasis
cluster variation method
Free Energy Principle
active inference
Bayesian brain
generative models
cybernetics
embodiment
enactivism
cognitivism
representations
consciousness
free will
mental causation
cognitive-affective development
emotions
feelings
readiness potentials
intentionality
agency
intelligence
collective intelligence
free energy principle
agent-based model
complex adaptive systems
multiscale systems
computational model
uncertainty
POMDP
emotion
affect control theory
sociology
permutation entropy
disorder
stress
allostatic (hub) overload
cascading failure
disease
hierarchical control systems
critical slowing down
model-based control
adaptive robots
generative model
Bayesian inference
filtering
neurotechnology
n/a
3-0365-4773-8
3-0365-4774-6
Ramstead, Maxwell edt
Sheikhbahaee, Zahra edt
Constant, Axel edt
Badcock, Paul oth
Ramstead, Maxwell oth
Sheikhbahaee, Zahra oth
Constant, Axel oth
language English
format eBook
author2 Ramstead, Maxwell
Sheikhbahaee, Zahra
Constant, Axel
Badcock, Paul
Ramstead, Maxwell
Sheikhbahaee, Zahra
Constant, Axel
author_facet Ramstead, Maxwell
Sheikhbahaee, Zahra
Constant, Axel
Badcock, Paul
Ramstead, Maxwell
Sheikhbahaee, Zahra
Constant, Axel
author2_variant p b pb
m r mr
z s zs
a c ac
author2_role HerausgeberIn
HerausgeberIn
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title Applying the Free-Energy Principle to Complex Adaptive Systems
spellingShingle Applying the Free-Energy Principle to Complex Adaptive Systems
title_full Applying the Free-Energy Principle to Complex Adaptive Systems
title_fullStr Applying the Free-Energy Principle to Complex Adaptive Systems
title_full_unstemmed Applying the Free-Energy Principle to Complex Adaptive Systems
title_auth Applying the Free-Energy Principle to Complex Adaptive Systems
title_new Applying the Free-Energy Principle to Complex Adaptive Systems
title_sort applying the free-energy principle to complex adaptive systems
publisher MDPI - Multidisciplinary Digital Publishing Institute
publishDate 2022
physical 1 electronic resource (214 p.)
isbn 3-0365-4773-8
3-0365-4774-6
illustrated Not Illustrated
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