Modeling Multi-Level Systems
Springer Berlin (Verlag)
978-3-642-42368-0 (ISBN)
This book is devoted to modeling of multi-level complex systems, a challenging domain for engineers, researchers and entrepreneurs, confronted with the transition from learning and adaptability to evolvability and autonomy for technologies, devices and problem solving methods. Chapter 1 introduces the multi-scale and multi-level systems and highlights their presence in different domains of science and technology. Methodologies as, random systems, non-Archimedean analysis, category theory and specific techniques as model categorification and integrative closure, are presented in chapter 2. Chapters 3 and 4 describe polystochastic models, PSM, and their developments. Categorical formulation of integrative closure offers the general PSM framework which serves as a flexible guideline for a large variety of multi-level modeling problems.
Focusing on chemical engineering, pharmaceutical and environmental case studies, the chapters 5 to 8 analyze mixing, turbulent dispersion and entropy production for multi-scale systems. Taking inspiration from systems sciences, chapters 9 to 11 highlight multi-level modeling potentialities in formal concept analysis, existential graphs and evolvable designs of experiments. Case studies refer to separation flow-sheets, pharmaceutical pipeline, drug design and development, reliability management systems, security and failure analysis. Perspectives and integrative points of view are discussed in chapter 12. Autonomous and viable systems, multi-agents, organic and autonomic computing, multi-level informational systems, are revealed as promising domains for future applications.
Written for: engineers, researchers, entrepreneurs and students in chemical, pharmaceutical, environmental and systems sciences engineering, and for applied mathematicians.
Introduction.- Methodological Resources.- Conventional PSM frames.- New PSM frames.-Mixing in chemical reactors.- Compartmental systems.- Turbulent mixing.- Entropy.- Formal concept analysis.- Existential graphs.- Evolvable designs of experiments.- Autonomous systems perspective.
| Erscheint lt. Verlag | 11.10.2014 |
|---|---|
| Reihe/Serie | Understanding Complex Systems |
| Zusatzinfo | XV, 232 p. |
| Verlagsort | Berlin |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Gewicht | 391 g |
| Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
| Mathematik / Informatik ► Mathematik ► Angewandte Mathematik | |
| Technik | |
| Schlagworte | Autonomy • Complexity • Complex Systems • Multi-Level Complex Systems • Multi-Level Systems |
| ISBN-10 | 3-642-42368-X / 364242368X |
| ISBN-13 | 978-3-642-42368-0 / 9783642423680 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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