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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| Natura: | Online |
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| Lingua: | inglese |
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MDPI - Multidisciplinary Digital Publishing Institute
2022
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| Accesso online: | ONIX_20220812_9783036547732_117 |
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| collection | Directory of Open Access Books |
| description | 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. |
| format | Online |
| id | doab-20.500.12854ir-91238 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-912382024-03-30T12:51:29Z Applying the Free-Energy Principle to Complex Adaptive Systems Badcock, Paul Ramstead, Maxwell Sheikhbahaee, Zahra Constant, Axel 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 thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries thema EDItEUR::U Computing and Information Technology::UY Computer science 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. 2022-08-12T12:53:47Z 2022-08-12T12:53:47Z 2022 book ONIX_20220812_9783036547732_117 9783036547732 9783036547749 https://directory.doabooks.org/handle/20.500.12854/91238 eng image/jpeg Attribution 4.0 International https://mdpi.com/books/pdfview/book/5884 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-4774-9 10.3390/books978-3-0365-4774-9 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036547732 9783036547749 214 Basel open access |
| spellingShingle | 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 thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries thema EDItEUR::U Computing and Information Technology::UY Computer science Applying the Free-Energy Principle to Complex Adaptive Systems |
| title | 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_short | Applying the Free-Energy Principle to Complex Adaptive Systems |
| title_sort | applying the free energy principle to complex adaptive systems |
| topic | 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 thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries thema EDItEUR::U Computing and Information Technology::UY Computer science |
| topic_facet | 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 thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries thema EDItEUR::U Computing and Information Technology::UY Computer science |
| url | ONIX_20220812_9783036547732_117 |