PlanetPhysics/Fuzzy Logics of Living Organisms

Fuzzy logics of living organisms
Living organisms or biosystems can be represented as super-complex systems with dynamics that is not reducible to that of their components, such as molecules and atoms. It is an empirically accepted fact that living organisms exhibit a wide degree of `biological variability': genetic, epigenetic and also phenotypic, metabolic within the same species; their behavior and dynamics thus exhibit a type of `fuzziness' (refs. ) that unlike Zadeh's fuzzy sets characteristic is neither random nor always following a (symmetric) Gaussian distribution. It has been proposed that the operational logics underlying super-complex systems dynamics are $LM_n$ many-valued logics for both genetic and neural networks (refs. ).