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Systems Sciences

A system is not the sum of its parts per se, it is rather the outcome of their interactions with one another. Systems sciences comprise systems constituting sets of reciprocal and interrelated components defined vis-á-vis natural or social subjects as their subject matter along with the methodology employed as a systems approach to complex problems.

Systems sciences, as a burgeoning scientific discipline, encompass systems as their subject with the methodology employed as a systems approach to complex problems. The systems are comprised of sets of reciprocal and interrelated components defined vis a vis natural or social subjects whether they are physical, concrete, abstract, planned, existing, static or dynamic.

The methods pertaining to systems science are employed for the definition of systems so that they can be distinguished from their environment at large. Besides this, analysis, representation and optimization of their behaviors, patterns and structure can also be at stake. Notwithstanding, the philosophical aspects of systems sciences constitute the general systems theory and its inherent elements thereof. To make the distinction more concise, systems science refer to the scientific exploration and theory of systems across various sciences, whereas general system theory is concerned with the principles that are applicable to all.

Science being permeated with philosophical tenets is inextricably intertwined with the roots of philosophy, which posits that science should not be denigrating philosophy. In other words, philosophy should not be thought as being eliminated from science. There is at times unwillingness towards the examination of philosophical foundations, which does not mean that foundations do not exist, they just remain unexamined. Philosophy of different sciences, complex systems, systems sciences, basic sciences (physics, biology chemistry, and so on), medicine, earth sciences, geoscience, computer science, engineering, social sciences (sociology, statistics, economy, finance, and so forth), intelligence and many more ones unfolding, which converge on logic, epistemology, methodology, knowledge and sociology of science and of knowledge along with the mathematical means of social and behavioral sciences with syntheses and analyses on broad spectra. For other details, see..

The history of systems science dates back to the mid-20th century with the endeavors of Bertanlanffy, Rapoport, Boulding, Miller and Wiener so that the earlier boundaries in academia and discipline within interdisciplinarity and transdisciplinarity framework. Upon the keen collaboration of researchers and practitioners from fields of technology, biology, sociology among others contemplated on pressing real-life problems and looking into the governing theories and principles concerning the way systems function in general, referring to the theories of systems. New terminology with novel terms like chaos, complexity, autopoiesis and feedback were also conceived and specified. Incorporating the systems theory and its aspects the methods enhance practice through specific systems approaches with the ultimate goal of understanding how different types of systems work and how it could be possible to tackle complex situations while mitigating problems and risks. You may also refer to...

Currently, systems science points toward interdisciplinarity and transdisciplinarity overlapping partially with common goals. Inter- and transdisciplinarity support cooperation across boundaries with theories of systems that explore and formalize general systems, concepts, principles as well as models with systems approaches that are oriented towards developing systemic methods to learn, design, transform and change.

Many systems exist within this landscape of systems science such as dynamical systems, complex systems, computational systems, medical systems, biological systems, and many more which provide the description and prediction of systems as well as other processes of that manifest complex and transient behavior arising from the many components’ interactions. Systems in science is endowed with an interdisciplinary perspective towards understanding diverse systems, from life at simple level to other reciprocal interactions getting gradually complex across incredible spectra with a profound view of a system-of-systems interdisciplinary theory, applications, techniques, means and tools directed towards the distinctive solutions within mathematical and / or diverse systems to complex problems. Such a diverse spectrum varies from mathematics to medicine, engineering, technology and science, ranging across formal, natural, social, mathematical, applied and computational sciences with the aim of developing transformative interdisciplinary foundations and merging thereof at times. This approach also has corresponding applications in a broad array of areas including biological systems, complex systems, systems science, computational systems, chaotic systems, systems design, dynamic systems, neural networks, social systems theory, system dynamics, human factors, physical laws, system dynamics, intelligence systems, control systems, robotic systems, service systems, interlocutory networked systems, AI-driven systems, systems ecology, computer science, data science, computer mathematics, systems engineering and systems psychology, medical systems, complexity systems, fractals systems, dynamical systems, fractional systems, nonlinear systems, stochastic processes, cybernetics, systems security, crypto-systems, engineering information theory, linguistics or systems theory, geochemistry, microbiology, information theory, network theory and real-world related systems, among many others. Please resort to...

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Complexity with perplexity, sophistication in simplicity.
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