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| Autore: |
Badcock Paul
|
| Titolo: |
Applying the Free-Energy Principle to Complex Adaptive Systems
|
| Pubblicazione: | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica: | 1 online resource (214 p.) |
| Soggetto topico: | Computer science |
| Information technology industries | |
| Soggetto non controllato: | active inference |
| adaptive robots | |
| affect control theory | |
| agency | |
| agent-based model | |
| allostatic (hub) overload | |
| apoptosis | |
| Bayesian | |
| Bayesian brain | |
| Bayesian inference | |
| cancer niches | |
| cascading failure | |
| cluster variation method | |
| cognitive-affective development | |
| cognitivism | |
| collective intelligence | |
| complex adaptive systems | |
| computational model | |
| consciousness | |
| critical slowing down | |
| cybernetics | |
| disease | |
| disorder | |
| embodiment | |
| emotion | |
| emotions | |
| enactivism | |
| feelings | |
| filtering | |
| free energy | |
| free energy principle | |
| Free Energy Principle | |
| free will | |
| generative model | |
| generative models | |
| hierarchical control systems | |
| intelligence | |
| intentionality | |
| Kikuchi approximations | |
| master equations | |
| mental causation | |
| message passing | |
| metabolism | |
| metastasis | |
| model-based control | |
| multiscale systems | |
| n/a | |
| neurotechnology | |
| non-equilibrium | |
| permutation entropy | |
| POMDP | |
| readiness potentials | |
| representations | |
| sociology | |
| stochastic | |
| stress | |
| uncertainty | |
| Persona (resp. second.): | RamsteadMaxwell |
| SheikhbahaeeZahra | |
| ConstantAxel | |
| BadcockPaul | |
| Sommario/riassunto: | 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. |
| Titolo autorizzato: | Applying the Free-Energy Principle to Complex Adaptive Systems ![]() |
| Formato: | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9910674391803321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |