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Philosophy of Sciences

2018 year, number 4

CHAOS AND SELF-ORGANIZED CRITICALITY IN FORMING THE CONCEPT OF DIGITAL PHILOSOPHY OF CONSCIOUSNESS

Andrey Vitalyevich Kolesnikov
Institute of Philosophy, National Academy of Sciences of Belarus, 1/2, Surganov st., Minsk, 220072, Republic of Belarus
Keywords: цифровая философия, клеточные автоматы, хаос, самоорганизованная критичность, сознание, психика, digital philosophy, cellular automata, chaos, self-organized criticality, consciousness, psyche

Abstract

The problem of consciousness is a crucial issue of philosophy. This research was aimed at developing the concept of digital philosophy of consciousness on the basis of the theory of chaos and self-organized criticality. For this purpose, we developed continuous cellular-automaton paradigmatic models of the two main components of consciousness - psyche and thinking. The models are designed to discover basic general principles underlying the nature of the phenomenon of consciousness in terms of modern digital philosophy. The models are made in the form of continuous cellular automata in one-dimensional and two-dimensional versions. The novelty of the work consists in applying the phenomenon of dynamic chaos to reproduce emergent properties of mental processes as a series of nonrecurring deterministic states of a distributed cooperative system. Basing on the theory of self-organized criticality, we developed rules for transition in the cell-automaton model which reproduces the propagation and vectoring of pulse avalanches representing the substantive determination of cognitive processes. The considered cellular models can be combined. The integrated combined model has a general character and reproduces some key properties of agents endowed with mentality and consciousness. Here, we mean spontaneity and emergency, imitation of a unique internal event flow of one's own being, as well as generation of avalanches of excitation and inhibition pulses that can become a basis of cognitive processes and behavioral regulators, including very complex and diverse one. The developed models can be applied in studying and forecasting the behavior of human-like systems, in the education process, as well as in the development of the methodology of artificial intelligence and robotics.