TY - BOOK ID - 146309192 TI - Applying the Free-Energy Principle to Complex Adaptive Systems AU - Badcock, Paul AU - Ramstead, Maxwell AU - Sheikhbahaee, Zahra AU - Constant, Axel PY - 2022 PB - Basel MDPI - Multidisciplinary Digital Publishing Institute DB - UniCat KW - Information technology industries KW - Computer science KW - message passing KW - metabolism KW - Bayesian KW - stochastic KW - non-equilibrium KW - master equations KW - cancer niches KW - free energy KW - Kikuchi approximations KW - apoptosis KW - metastasis KW - cluster variation method KW - Free Energy Principle KW - active inference KW - Bayesian brain KW - generative models KW - cybernetics KW - embodiment KW - enactivism KW - cognitivism KW - representations KW - consciousness KW - free will KW - mental causation KW - cognitive-affective development KW - emotions KW - feelings KW - readiness potentials KW - intentionality KW - agency KW - intelligence KW - collective intelligence KW - free energy principle KW - agent-based model KW - complex adaptive systems KW - multiscale systems KW - computational model KW - uncertainty KW - POMDP KW - emotion KW - affect control theory KW - sociology KW - permutation entropy KW - disorder KW - stress KW - allostatic (hub) overload KW - cascading failure KW - disease KW - hierarchical control systems KW - critical slowing down KW - model-based control KW - adaptive robots KW - generative model KW - Bayesian inference KW - filtering KW - neurotechnology KW - message passing KW - metabolism KW - Bayesian KW - stochastic KW - non-equilibrium KW - master equations KW - cancer niches KW - free energy KW - Kikuchi approximations KW - apoptosis KW - metastasis KW - cluster variation method KW - Free Energy Principle KW - active inference KW - Bayesian brain KW - generative models KW - cybernetics KW - embodiment KW - enactivism KW - cognitivism KW - representations KW - consciousness KW - free will KW - mental causation KW - cognitive-affective development KW - emotions KW - feelings KW - readiness potentials KW - intentionality KW - agency KW - intelligence KW - collective intelligence KW - free energy principle KW - agent-based model KW - complex adaptive systems KW - multiscale systems KW - computational model KW - uncertainty KW - POMDP KW - emotion KW - affect control theory KW - sociology KW - permutation entropy KW - disorder KW - stress KW - allostatic (hub) overload KW - cascading failure KW - disease KW - hierarchical control systems KW - critical slowing down KW - model-based control KW - adaptive robots KW - generative model KW - Bayesian inference KW - filtering KW - neurotechnology UR - https://www.unicat.be/uniCat?func=search&query=sysid:146309192 AB - 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. ER -