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COMPLEX NON-LINEAR BIODYNAMICS IN CATEGORIES, HIGHER DIMENSIONAL ALGEBRA AND ŁUKASIEWICZ– MOISIL TOPOS: TRANSFORMATIONS OF NEURONAL,
BibTeX
@MISC{Genetic_complexnon-linear,
author = {Genetic and Neoplastic Networks},
title = {COMPLEX NON-LINEAR BIODYNAMICS IN CATEGORIES, HIGHER DIMENSIONAL ALGEBRA AND ŁUKASIEWICZ– MOISIL TOPOS: TRANSFORMATIONS OF NEURONAL,},
year = {}
}
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Abstract
ABSTRACT. A categorical, higher dimensional algebra and generalized topos framework for Łukasiewicz–Moisil Algebraic–Logic models of non-linear dynamics in complex functional genomes and cell interactomes is proposed. Łukasiewicz– Moisil Algebraic–Logic models of neural, genetic and neoplastic cell networks, as well as signaling pathways in cells are formulated in terms of non-linear dynamic systems with n-state components that allow for the generalization of previous logical models of both genetic activities and neural networks. An algebraic formulation of variable ‘next-state functions ’ is extended to a Łukasiewicz–Moisil Topos with an nvalued Łukasiewicz–Moisil Algebraic Logic subobject classifier description that represents non-random and non-linear network activities as well as their transformations in developmental processes and carcinogenesis. The unification of the theories of organismic sets, molecular sets and Robert Rosen’s (M,R)-systems is also considered here in terms of natural transformations of organismal structures which generate higher dimensional algebras based on consistent axioms, thus avoiding well known logical paradoxes occurring with sets. Quantum bionetworks, such as quantum neural nets and quantum genetic networks, are also discussed and their underlying, non-commutative quantum logics are considered in the context of an emerging Quantum Relational Biology. KEY WORDS: adjoint functors and dynamically analogous systems, biogroupoids and organismal development, biological principles, nuclear equivalence and cell differentiation, categories, n-valued logics and higher dimensional algebra in neuroscience and genetics, cognitive and anticipatory processes, learning and quantum wave-pattern recognition, colimits, limits and adjointness relations in biology, generalized (M,R)-systems, neuro-categories and consciousness, quantum automata and relational biology, quantum bionetworks and their underlying quantum logics, quantum computers 1.
Keyphrases
dimensional algebra complex non-linear biodynamics category ukasiewicz moisil algebraic logic model quantum bionetworks robert rosen non-linear network activity neoplastic cell network ukasiewicz moisil topos non-linear dynamic biological principle genetic activity organismal development logical paradox n-valued logic previous logical model neural network adjointness relation nvalued ukasiewicz moisil algebraic logic organismic set natural transformation quantum wave-pattern recognition complex functional genome topos framework developmental process underlying quantum logic consistent axiom quantum computer cell differentiation non-linear dynamic system n-state component anticipatory process algebraic formulation quantum neural net non-commutative quantum logic quantum automaton quantum relational biology cell interactomes adjoint functors quantum genetic network organismal structure key word relational biology variable next-state function analogous system nuclear equivalence molecular set
