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Complex Systems

Complexity and Complex Systems Applied Complex Systems Complexity Theoretical Complexity Applied Complexity

A complex system is literally one where multiple interactions occur and emerge among the components; and common to all research into complexity are the systems that have adapting, self-organizing, synchronizing and reacting elements [Karaca, Y. (2022)].

Complex and non-linear dynamical systems are thriving as models of natural phenomena, and they are frequently marked by unpredictable behaviors which is compelling to perform as it occupies place like the incidents in chaotic systems. The essence of the problem lies in understanding which type of information, particularly the one related to the long-term evolution, can be estimated to be extracted from those systems minding the applicable and actionable solutions. Likewise, complexity, order and evolution all divulge the relationship between natural and social worlds, which actually represents a modern and solution-oriented way of thinking posing formidable challenges against the dichotomy between the natural and the social.

These challenges bring about some applicable and optimal solutions through the effective management of the systems distinctively as complex systems, dynamic systems, real-world systems and nonlinear intelligence dynamics, among many others, under the encompassing pillar of systems in science and nonlinear intelligence dynamics through the profound consideration of the parameters and needs of each system with a tailored, precise and sophisticated specific approaches. Therefore, it becomes essential to tackle different processesinherent in complex systems so that the provision of efficient, robust and global solutions can be ensured through a holistic perspective. At that point, it is of particular consideration to evaluate the particulars of the respective domain, multifarious methods, as different from the conventional perspectives. Given these relevant and particular factors, it can be noted that there exists a need for such an integrative and resourceful perspective pointing towards a unified science framework. Thus, it is noteworthy to make plans and schemes in a way that would include theoretical, applied, research-related and symbolic aspects to be handled from the personal viewpoints of professional, academic and industrial contributors through the lenses of the distinctive discipline and when need be multidiscipline(s), with advanced computing being at the forefront considering the subtleties of algorithmic richness in complex systems where nonlinearity and ample interactions are to be examined. This standpoint and handling of subjects will provide a more detailed, comprehensive and sophisticated content. Bearing this in mind, serving as a bridge as well as a compact and systematic guidelines resorting to the most recent discoveries, advances and developments include many types of applications and theoretical visions. You may refer to...

Some relevant features to summarize could be a holistic perspective for effective management of complex systems with a way of thinking outside the box, which paves the way for multifaceted optimized solutions. In addition to these points, combination of theory and applications regarding complexity, nonlinearity and complex systems from the standpoint of across far-reaching different disciplines can facilitate the processes. Revealing the functioning of complex-order systems within a universal order manifesting multiple dynamical interactive components grounded on multiscale spatial and temporal fields based on an operational whole cannot be overlooked. Furthermore, constructing and providing approaches to facilitate and direct critical decision-making processes concerning order, causality and nonlinear dynamics on various scales and in various scenarios are critical. As the standing point, it may be necessary to serve as a bridge and convergence between application of advanced computational methods reliant on wide-ranging analyses, theories and paradigms through the new concepts and ideas to comprehend and model complex systems from a systemic mode of thinking towards unified science framework through the latest innovative and sustainable technological advances. Analyses of big data are also in the equation of such things so that efficient analyses of big data can be carried out by means of innovative quantification technologies which integrate dynamic multilayer systems to understand complex and nonlinear systems to achieve better predictability and higher controllability. All these considered, integration and adaptation of multifarious methods and intellectually sophisticated perspective can enable the adaptation and updating of knowledge that requires continual learning based on multiple intelligences, transforming and ever-evolving nature of knowledge concerning the world and the universe.