Multi-Chaos, Fractal and Multi-Fractional Artificial Intelligence
of Different Complex Systems addresses different uncertain
processes inherent in the complex systems, attempting to provide
global and robust optimized solutions distinctively through
multifarious methods, technical analyses, modeling, optimization
processes, numerical simulations, case studies as well as
applications including theoretical aspects of complexity.
Foregrounding Multi-chaos, Fractal and Multi-fractional in the era
of Artificial Intelligence (AI), the edited book deals with multi-
chaos, fractal, multifractional, fractional calculus, fractional
operators, quantum, wavelet, entropy-based applications, artificial
intelligence, mathematics-informed and data driven processes aside
from the means of modelling, and simulations for the solution of
multifaceted problems characterized by nonlinearity, non-regularity
and self-similarity, frequently encountered in different complex
systems. The fundamental interacting components underlying
complexity, complexity thinking, processes and theory along with
computational processes and technologies, with machine learning as
the core component of AI demonstrate the enabling of complex data
to augment some critical human skills. Appealing to an
interdisciplinary network of scientists and researchers to
disseminate the theory and application in medicine, neurology,
mathematics, physics, biology, chemistry, information theory,
engineering, computer science, social sciences and other
far-reaching domains, the overarching aim is to empower
out-of-the-box thinking through multifarious methods, directed
towards paradoxical situations, uncertain processes, chaotic,
transient and nonlinear dynamics of complex systems.
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