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Book Series

Systems Sciences and Nonlinear Intelligence Dynamics

Systems in science with an interdisciplinary perspective are concerned with 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, mathematical systems and modern intelligent methods to highly complex problems. This sort of diverse spectrum ranges from mathematics to medicine, engineering, technology and science, spanning across formal, natural, social, mathematical, applied and computational sciences with the aim of developing transformative interdisciplinary foundations and merging thereof. It also has related applications in a variety of areas including biological systems, complex systems, systems science, computational systems, chaotic systems, systems design, dynamic systems, social systems theory, system dynamics, human factors, physical laws, system dynamics, intelligence systems, control systems, robotic systems, service systems, interlocutory networked systems, systems ecology, computer science, systems engineering and systems psychology, medical systems, complexity systems, fractals systems, dynamical systems, fractional systems, nonlinear systems, cybernetics, engineering information theory, linguistics or systems theory and real-world related systems, among many others. Furthermore, rigorous mathematical procedures and applications, as the impetus behind discovery and innovation, involve an extensive array of disciplines to highlight the multidisciplinary applications and universal character of mathematical science and modeling. The key aspects commonly foregrounded in systems in science need to encompass a holistic view, considering the importance of interaction between a system and its embedded environment as well as complex or subtle trajectories of dynamic behavior.

Nonlinear intelligence dynamics, as a research field, serves to understand and realize the multiple layers of intelligence with its dynamics viewed as a thought-provoking vital subject matter owing to the requirement of system-of-systems considerations in order to peruse research and practice at different levels with varying goals to fulfill the compelling needs of both academic and practical areas. Along with these points, the capabilities of predictability, estimation, interpretation, relying on the scope from mathematical sciences, computer sciences to applied sciences as well as engineering mathematics with nonlinear intelligence dynamics lie at the pedestal and intersection with different fields characterized by complex, chaotic, nonlinear, dynamic and transient components to reveal the significance of optimized approaches in real systems and related realms. Significant developments based on these critical points and perspectives, with mathematical modeling grounded in the integration of systems in science and nonlinear intelligence dynamics, can pave the way for the future research towards the formulation, design, deployment, analysis and multi-criteriaoptimization, and extension of the predictability horizons of the applicable solutions to problems arising as formidable challenges in our ever-evolving and rapidly-changing global landscape. Across this line of thought, the integrated solutions with the dynamic approach can support critical multi-stage decision-making processes through the lenses of realistic, actionable and timely information oriented towards the solution of problems in a customized, tailored and to-the-point manner in systems of sciences. Accordingly, our book series, from an interdisciplinary and multidisciplinary approach, fundamentally deals with the solution and answers of complex problems characterized by nonlinearity, dynamic aspects, ambiguity, uncertainty and transiency, to name some. Each system and its interactional units entail optimal solutions peculiar to their own parameters, so the book series will focus particularly on the most up-to-date developments, findings, advances in theories, novel models, diverse applications along with related analyses and simulations. By serving the needs of different aspects emblematic of systems in science characteristics with regards to each domain, the books within the series are expected to provide methodology, tools, means, applications, techniques and theories relying on theoretical and applied dimensions so that current pressing challenges, which at times may exceed the possible limits of human comprehension, can be inquired and found through these aforementioned means. This integrative sophisticated approach is prominent in dynamic systems, facilitating to achieve enabling solutions, optimization processes, numerical simulations besides technical analyses and related applications. With the presentation of these elements, it will also be possible for individuals including researchers, academics, clinicians and practitioners to be well equipped so that they can come up with applicable and timely conceptualization, design, generation and implementation of the robust and optimized actual solutions towards complex problems under uncertain, transient and dynamic complex elements of science with intricate dissipative structures. These key features of the book series means that for each discipline, well-suited and tailored solutions will be elaborated on, discussed, analyzed, demonstrated and explained in detail by taking into consideration the specific particulars of each domain and application both theoretically, methodologically and practice-wise through sophisticated academic terminology and precise conveyance of ideas.

The overarching framework of this book series concerning systems in science and nonlinear intelligent dynamics includes exact sciences, namely mathematics, physics, biology and chemistry, besides medicine, neurology, neuroscience, epidemiology, engineering, biomedical engineering, bioinformatics, life sciences, mathematical biology, computational modeling, clinical/medical research applications, applied sciences, mathematical science, applied mathematics, advanced Artificial Intelligence (AI) applications, image / signal processing, data science, computer science, computational science, economics, finance and social sciences, and so forth. By elaborating on different, yet, potentially interrelated disciplines, the essential phenomena underlying the entire behaviors of systems in science and nonlinear intelligent dynamics will be covered within the book series at stake. Taken together, our book series intends to provide a theoretical-based and practical way towards original inter-, intra as well as multidisciplinary research relying upon advanced mathematical modeling and computational foundations. Accordingly, our book series will cover theoretical, computational and applied scopes, converging mathematical analyses, methods, demonstrations, simulations, experimental designs, analyses, observations, interpretations, case studies, computer-assisted translations, computing technologies, and so forth for the purpose of validating the significance of up-to-date developments, approaches, findings, applications and schemes in real systems as well as in the related domains thereof.

Accordingly, some of the selected key features of the book series can be outlined as follows:

• 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,
• Presentation of a holistic converging perspective concerning the different systems in science with a transformative mode of solution-oriented outlook, which can pave the way towards multifaceted optimized solutions practical to be implemented,
• Seeking solution and answers of complex problems characterized by nonlinearity, dynamic aspects, complexity, ambiguity, uncertainty and transiency, to name some; and thus, within this scope of complex systems, fostering a systemic approach pinpointing the requirement of each system with respect to optimal solutions peculiar to its own parameters, interactional elements and variables,
• Constructing and enabling approaches for the facilitation and implementation of critical decision-making processes concerning order, chaos, causality and complex dynamics on various scales and scenarios based on advanced mathematical sophistication,
• By considering the evolving dynamical systems modeling, presentation of new concepts for comprehending and modeling systems in science from a systemic mode of thinking towards a unified science framework encompassing nonlinear intelligence dynamics through the most recent innovative technological advances,
• Efficient analyses of voluminous (-big) data obtained from heterogenous quantification technologies which integrate dynamic multilayer systems to obtain predictability with higher levels of accuracy as well as higher controllability,
• Integration and adaptation of multifarious methods and intellectually sophisticated perspectives, enabling the adaptation and updating of knowledge that requires profound learning processes based on dynamic intelligence, transforming and ever- evolving nature of knowledge concerning the universe and the world.

In our book series, entitled “Systems Science & Nonlinear Intelligence Dynamics (SSNID)”, we aim to come up with volumes pointing towards diverse systems, from life at simple level to other reciprocal interactions getting gradually complex across incredible spectra entails a profound view of a system-of-systems interdisciplinary theory, applications, techniques, means and tools geared towards the distinctive and particular solutions, mathematical systems and modern intelligent methods to highly complex problems. To this end, particular solutions can be provided for the first time in the literature with respect to varying domains in all the systems and their related subunits concerned with the key aspects commonly foregrounded in systems in science, taking into account interactions besides the complex and / or subtle trajectories of dynamic behaviors therein. The series will publish a wide range of formats including textbooks, monographs, conference proceedings, case studies, handbooks, authored books, individual books and edited volumes. These publications can provide researchers, academics, clinicians and practitioners with methodologies, tools, applications, techniques and theories essential for advances in the respective fields.

For the submission of proposals, please download the proposal form herein and forward your draft proposal on the book you would like to work on.

The website is: https://www.worldscientific.com/series/ssnid