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In the past 30 years, technology has caused waves of disruptive developments, each crashing onto society and business alike. With the tide building and the pace accelerating, the next wave promises to come in big. These new challenges have a societal and environmental impact, are systemic and increasingly complex. Our old ways of doing business don’t suffice anymore. Furthermore, the future is too fast and too complex to go at it alone. In the future, competition will happen on the level of ecosystems, not just on the level of companies, products or services. This book gives companies the tools to build mutually beneficial, equal and sincere partnerships. We call them metasystems. And we believe them to be the most suitable armor for the next decade. Metasystems are built on trust and purpose. The biggest challenge is how to leverage the soft side, the human factor again. “It’s a pivotal time, both exciting and frightening. By joining forces, we believe businesses can accelerate, innovate and create a desirable future horizon.” - Dado Van Peteghem “The war of all against all has ended. It’s time to reinstate the essence of business: collaborating to fuel progress and a prosperous future.” - Nils van Dam ABOUT THE AUTHORS Dado Van Peterghem - Dado is a founding partner at the transformation advisory firm Scopernia, and co-founder of startups Social Seeder and Speakersbase, giving more than 100 speeches a year on topics as digital transformation, innovation and ecosystem thinking. Dado studied Communication & Computer Sciences at the University of Ghent and is a published author of 3 business books: Digital Transformation (2014) with Jo Caudron, Corporate Venturing (2018) with Omar Mohout and Metasystems (2020) with Nils van Dam. Dado actively helps organizations with their innovation vision and strategy. As a member of the strategy committee of leading fashion group Chalhoub Group in Dubai, he often spends time in the Middle East and Asia. Nils van Dam - Nils is CEO of Belgium’s largest dairy cooperation, Milcobel.Nils built an impressive track record in the Food & Beverage sector thanks to his career with Unilever, first as SVP in Europe and Russia, later as SVP Marketing in Benelux and finally as CEO Belux. After his period at Unilever Nils became partner at Scopernia. As CEO of Unilever, Nils actively and successfully transformed the company into a sustainable frontrunner. Thanks to his extensive experience in the field of sustainable transformation, Nils also lectures on the topic at the University of Antwerp. Apart from being lecturer and CEO at Milcobel, Nils is also active as Non-Executive Director of Spaas, Westmalle and Jacoti.
Universal access to high-quality education plays an important role in the building of peace, sustainable social and economic development, and intercultural dialogue. Providing research on the quality and understanding of open education allows for successful learning strategies and educational sustainability. Metasystems Learning Design of Open Textbooks: Emerging Research and Opportunities is an essential reference source that discusses the role of open education in improving the quality of education, as well as facilitating policy dialogue, knowledge sharing, and capacity building. Featuring research on topics such as design theory, competence development, and adaptive learning, this book is ideally designed for educators, academicians, education administrators, curriculum developers, and researchers seeking coverage on the functional models of open education and the diversity of open educational resources.
One criterion for classifying books is whether they are written for a single pur pose or for multiple purposes. This book belongs to the category of multipurpose books, but one of its roles is predominant-it is primarily a textbook. As such, it can be used for a variety ofcourses at the first-year graduate or upper-division undergraduate level. A common characteristic of these courses is that they cover fundamental systems concepts, major categories of systems problems, and some selected methods for dealing with these problems at a rather general level. A unique feature of the book is that the concepts, problems, and methods are introduced in the context of an architectural formulation of an expert system referred to as the general systems problem solver or aSPS-whose aim is to provide users ofall kinds with computer-based systems knowledge and methodo logy. Theasps architecture,which is developed throughout the book, facilitates a framework that is conducive to acoherent, comprehensive, and pragmaticcoverage ofsystems fundamentals-concepts, problems, and methods. A course that covers systems fundamentals is now offered not only in sys tems science, information science, or systems engineering programs, but in many programs in other disciplines as well. Although the level ofcoverage for systems science or engineering students is surely different from that used for students in other disciplines, this book is designed to serve both of these needs.
Information systems science is rapidly advancing in many directions. Di versified ideas, methodologies, and techniques as well as applications have been conceived and developed. This series intends to discuss some of the recent advances in this field. In this volume, we cover four timely topics which are of great current interest. In each chapter, an attempt is made to familiarize the reader with some basic background information on the ad vances discussed. The emphasis of this volume is placed upon parallel pro gramming, data structure models in information system design, and the principles of L systems. One of the effective means to enhance computation performance is parallel information processing on multiprocessor systems. In Chapter I, V. E. Kotov discusses the practical aspects of parallel programming. He is concerned with the languages and methods of parallel programming, per formance an~lysis, and automatic synthesis of parallel programs. In Chapter 2, A. S. Narin'yani presents the formal theory of parallel computations. These two chapters attempt to correlate and classify various methods in parallel programming, thus providing the reader with a unified approach to this important subject matter. Data structures play an important role in information system design.
The subject “Systems sciences and cybernetics” is the outcome of the convergence of a number of trends in a larger current of thought devoted to the growing complexity of (primarily social) objects and arising in response to the need for globalized treatment of such objects. This has been magnified by the proliferation and publication of all manner of quantitative scientific data on such objects, advances in the theories on their inter-relations, the enormous computational capacity provided by IT hardware and software and the critical revisiting of subject-object interaction, not to mention the urgent need to control the efficiency of complex systems, where “efficiency” is understood to mean the ability to find a solution to many social problems, including those posed on a planetary scale. The result has been the forging of a new, academically consolidated scientific trend going by the name of Systems Theory and Cybernetics, with a comprehensive, multi-disciplinary focus and therefore apt for understanding realities still regarded to be inescapably chaotic. This subject entry is subdivided into four sections. The first, an introduction to systemic theories, addresses the historic development of the most commonly used systemic approaches, from new concepts such as the so-called “geometry of thinking” or the systemic treatment of “non-systemic identities” to the taxonomic, entropic, axiological and ethical problems deriving from a general “systemic-cybernetic” conceit. Hence, the focus in this section is on the historic and philosophical aspects of the subject. Moreover, it may be asserted today that, beyond a shadow of a doubt, problems, in particular problems deriving from human interaction but in general any problem regardless of its nature, must be posed from a systemic perspective, for otherwise the obstacles to their solution are insurmountable. Reaching such a perspective requires taking at least the following well-known steps: a) statement of the problem from the determinant variables or phenomena; b) adoption of theoretical models showing the interrelationships among such variables; c) use of the maximum amount of – wherever possible quantitative – information available on each; d) placement of the set of variables in an environment that inevitably pre-determines the problem. That epistemology would explain the substantial development of the systemic-cybernetic approach in recent decades. The articles in the second section deal in particular with the different methodological approaches developed when confronting real problems, from issues that affect humanity as a whole to minor but specific questions arising in human organizations. Certain sub-themes are discussed by the various authors – always from a didactic vantage –, including: problem discovery and diagnosis and development of the respective critical theory; the design of ad hoc strategies and methodologies; the implementation of both qualitative (soft system methodologies) and formal and quantitative (such as the “General System Problem Solver” or the “axiological-operational” perspective) approaches; cross-disciplinary integration; and suitable methods for broaching psychological, cultural and socio-political dynamisms. The third section is devoted to cybernetics in the present dual meaning of the term: on the one hand, control of the effectiveness of communication and actions, and on the other, the processes of self-production of knowledge through reflection and the relationship between the observing subject and the observed object when the latter is also observer and the former observed. Known as “second order cybernetics”, this provides an avenue for rethinking the validity of knowledge, such as for instance when viewed through what is known as “bipolar feedback”: processes through which interactions create novelty, complexity and diversity. Finally, the fourth section centres around artificial and computational intelligence, addressing sub-themes such as “neural networks”, the “simulated annealing” that ranges from statistical thermodynamics to combinatory problem-solving, such as in the explanation of the role of adaptive systems, or when discussing the relationship between biological and computational intelligence.
STEM Education: An Overview of Contemporary Research, Trends, and Perspectives is a resource designed for STEM professionals in the field of education. The book contains essays on STEM content, ethics, history, research, and educational programs.
Recently there has been considerable interest in qualitative methods in simulation and mathematical model- ing. Qualitative Simulation Modeling and Analysis is the first book to thoroughly review fundamental concepts in the field of qualitative simulation. The book will appeal to readers in a variety of disciplines including researchers in simulation methodology, artificial intelligence and engineering. This book boldly attempts to bring together, for the first time, the qualitative techniques previously found only in hard-to-find journals dedicated to single disciplines. The book is written for scientists and engineers interested in improving their knowledge of simulation modeling. The "qualitative" nature of the book stresses concepts of invariance, uncertainty and graph-theoretic bases for modeling and analysis.