By Robert S. Root-Bernstein (auth.), Plamen L. Simeonov, Leslie S. Smith, Andrée C. Ehresmann (eds.)
Perhaps the main certain query in technological know-how in the course of the a while has been the only of perceivable reality, handled either in physics and philosophy. fact is performing upon us, and we, and lifestyles regularly, are appearing upon fact. Potentiality, stumbled on either in quantum truth and within the task of lifestyles, performs a key position. In quantum fact remark turns potentiality into fact. back, lifestyles computes probabilities in a variety of methods in keeping with previous activities, and acts at the foundation of those computations.
This booklet is set a brand new method of biology (and physics, of course!). Its subtitle indicates a perpetual stream and interaction among elusive facets of contemporary technological know-how — reality/matter and potentiality/mind, among physics and biology — either captured and caused through arithmetic — to appreciate and clarify emergence, improvement and existence the entire manner as much as consciousness.
But what's the real/potential distinction among dwelling and non-living topic? How does time in potentiality range from time in truth? What we have to comprehend those transformations is an integrative procedure. This publication contemplates the best way to encircle existence to acquire a proper approach, resembling those in physics. Integral Biomathics makes an attempt to discover the interaction among truth and potentiality.
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Additional info for Integral Biomathics: Tracing the Road to Reality
MENS, a mathematical model for cognitive systems. , Wedeen, J. : Mapping the Structural Core of Human Cerebral Cortex. : The organization of behaviour. : Spike-timing dynamics of neuronal groups. Cerebral Cortex 14, 933–944 (2004) A New Approach to the Information in Neural Systems Christopher D. kr Abstract. Given the tremendous advances that have been made in our understanding of the mechanics of neural systems, there has been remarkably little progress in understanding how they process information.
If information and inference can be identified as properties of physical systems, it would become relatively easy, in principle, to specify the computational goal of the nervous system as the minimization of uncertainty, and to show how it is accomplished. The goal of minimizing uncertainty (of the brain about its world) is exclusively from a neurocentric perspective. It is clear that the outputs of a system depend upon the information and mechanics of the system, and thus it is desirable to have a computational goal that is defined through reference to the internal information and mechanics of the system.
This new biomathematics will have to integrate at a minimum concepts of continuous mathematics with discrete mathematics, vector formalisms, and geometrical principles. Such a biologically relevant mathematics does not currently exists. In conclusion, if I may be permitted one final speculation, I feel compelled to ask whether biomathematics may revolutionize mathematics itself by finding novel links between set theory, probability theory, hierarchy theory, network theory, vectorial mathematics etc.
Integral Biomathics: Tracing the Road to Reality by Robert S. Root-Bernstein (auth.), Plamen L. Simeonov, Leslie S. Smith, Andrée C. Ehresmann (eds.)