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Vladimir Gontar
Director, Int. Group for Chaos Studies
Ben-Gurion University of the Negev
galita@bgumail.bgu.ac.il
http://www.bgu.ac.il/chaos/
From Discrete Chaotic Dynamics of Living
and Thinking Systems to a New Generation of Neural Networks and "Artificial
Brain"
The monopoly of differential equations for describing all kinds of
natural and social systems dynamics was broken by the results obtained
in chaos studies. It is became clear that difference equations /iterations/
can generate all types of complex systems dynamics. But the absence
of the general rules and physical principles, which should lead us
to the construction of difference equations /as it have been done
from the very beginning with differential equations/ make this discrete
calculus not so widely used as it could be.
Our main aim is to elaborate rules and first principles for the construction
of systems of difference equations describing the spatial-temporal
dynamic behavior of the processes similar to ones ruling the construction
of systems of ordinary and partial differential equations. This aim
requires a clarification of the meaning of discrete space and time,
continuity and discreteness, determinism and randomness.
As one of the possible approaches for the construction from the first
principles basic equations in a form of iterations connected we will
consider discrete physicochemical reactions dynamics [1]. These dynamics
are based on entropy principle of extremality, p -theorem of the theory
of dimensionality, and leads to systems of non-linear iterations.
On that bases we will discuss calculus of iterations, discrete chaotic
dynamics paradigm and its application for mathematical modeling of
complex, living and thinking systems [2,3].
Applications of the presented discrete chaotic dynamics mathematical
models for image and signal processing, new generation of neural networks
and "artificial brain" will be presented.
References
1. V. Gontar, "Calculus of iterations and dynamics of physicochemical
reactions" Mathematics and Computers in Simulation, , 39, (1995),
pp. 603-609
2. V.Gontar, "Discrete dynamics for mathematical simulation of
living systems", Chaos, Solitons and Fractals, 8, No.4, (1997)
pp.517-524
3. V. Gontar, "Theoretical foundation of Jung’s Mandala
Symbolism based on discrete chaotic dynamics of interacting neurons"
Discrete Dynamics In Nature and Society, 5, No.1, (2000), pp.19-28
Some relevant information could be found on http://www.bgu.ac.il/chaos
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