For many highly complex, ecological, physical and societal structures, the conventional hypotheses that underpin many theoretical and analytical frameworks are false. Complex systems research elucidates why and when such preconceptions are incorrect, as well as alternate paradigms for comprehending complex series characteristics. Complexity characteristics, the tradeoff between effectiveness and adaptation, the need of matching the complexities of networks to that of their surroundings, multiresolution assessment, and evolution are among the fundamental concepts of Complex Systems (CS) research introduced in this study. Instead of simulating particular dynamics, we concentrate on the general characteristics of systems. We didactically explain a theoretical and analytic strategy for comprehending and engaging with the complicated processes of our environment rather than giving a complete overview. This article requires just a middle school mathematics and science foundation in order to make it approachable to researchers from all disciplines, decision-makers from business, government, and charity, and anybody engaged in networks and civilization.
Keywords
Complex Systems Science (CSSs), Complex Systems (CS), Machines, Critical Systems.
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Shi Xiao Qin
Shi Xiao Qin
School of Materials Science and Engineering, Sun Yat-sen University, Xingang Xi Road, P. R. China.
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Cite this article
Shi Xiao Qin, “Critical Analysis of Complex Systems Science and Mechanics”, Journal of Machine and Computing, vol.1, no.4, pp. 191-197, October 2021. doi: 10.53759/7669/jmc202101023.
