Modeling multi-level systems [electronic resource]
- 作者： Iordache, Octavian.
- 其他作者：
- 出版： Berlin, Heidelberg : Springer Berlin Heidelberg
- 叢書名： Understanding Complex Systems,
- 主題： Stochastic models. , System theory--Mathematical models. , Engineering , Complexity. , Nonlinear Dynamics. , Computational intelligence
- ISBN： 9783642179464 (electronic bk.) 、 9783642179457 (paper)
-
FIND@SFXID:
CGU
- 資料類型: 電子書
-
讀者標籤：
- 系統號： 005069182 | 機讀編目格式
館藏資訊
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.