Science

Nanobiosystem optimal adaptive simulation through anticipation and evolution

S.Santoli

Italy

 

Some recent experimental results concerning biosystem evolutionary behavior can be described by a hetero-hierarchical dynamics, based on interaction at the nanoscale level of micro- and macrophysics, that simulates the biosystem environment and consists in anticipatory and evolutionary steps. Such dynamics occurs through convolution of the biosystem inner dynamics with the incoming environmental time series, and is based on nanochaos and wave properties of the inner reaction-diffusion systems and of electromagnetic processes in the quasi-periodical structures of subcellular members. It is shown that a dynamics of that kind would depict theoretically the recent experimental results proving that Darwinian evolution theory based on pure chance must be corrected to involve also a kind of molecular-level strategy that controls the evolutionary steps. Cell thus is shown to be a semantic automaton, not a merely syntactic (i.e., purely logical) automaton like automata designed according to the principles of Artificial Intelligence. This whole picture shows that cells process information actively in simulating the environment through anticipation and evolution and that they also are their own interpreters and recognizers of that information. an evolutionary event would be the result of

         i) anticipation (how would the environment change?) and

         ii) evolution (how to accommodate its changes?)

Anticipation would include both so-called weak anticipation and strong anticipation. "Weak Anticipation" is the capability of a system to change its state Working on the nanoscale, Bremermann's notion of optimization through evolution and recombination has thus been changed here into the notion of optimization through evolution and anticipation. Nanochaos provides attractors, strange attractors, and intermittency dynamic behavior between stability and instability (for evolution) through incursion and hyperincursion, and information compression. What does it mean "information compression"? It means that the flow volume of information in state space becomes shrinked into a smaller number of degrees of freedom so generating new information and meaning as a set of collective (i.e. abstract) properties, i.e. a definite level of "knowledge". The notion of "physical information" is identified here as an emergent property from the conjugation (convolution and simulation with abstraction as formation of collective properties)š of external signals with the internal active dynamics of the receptor. This "emergent property" is a quality like spacetime, that might be made quantifiable just like spacetime,š possibly both as to semantics and to syntax, through Topology. Could this notion of information be further developed so as to become a "primary notion" like spacetime, as an exchange property in addition to the notions of spacetime and the four fundamental interactions? As a matter of fact, the nanoscale study of biosystems shows cells to feature a kind of intelligence so that we can reason in terms of molecular strategy in the study of evolution of genomes. In purely Darwinian evolution, variation may be purely fortuitous. Absolute chance would be operative in the cosmos. It is to be remarked here that actually "chance" doesn't necessary occur in the notion of "randomness". This paper disentangles the roles of chance (if any!) and of necessity, i.e., the role of uniformitarianism (universal causality) vs. tychism (the wheel of mere fortune). Stated otherwise, it is stated that the "Darwinian Evolutionary Engine" is just an epiphenomenon, not a real physical agency.

 




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