Applying the Free-Energy Principle to Complex Adaptive Systems

• Other Authors: Badcock, Paul (Editor), Ramstead, Maxwell (Editor), Sheikhbahaee, Zahra (Editor), Constant, Axel (Editor)
• Format: Electronic Book Chapter
• Language: English
• Published: Basel MDPI - Multidisciplinary Digital Publishing Institute 2022
• Subjects: Information technology industries; Computer science; 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
• Online Access: DOAB: download the publication; DOAB: description of the publication

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...