Полное описание

Iordache, O. Modeling Multi-Level Systems / by Octavian Iordache. - Electronic text data. - Berlin ; Heidelberg : Springer Berlin Heidelberg, 2011. - (Understanding Complex Systems, ISSN 1860-0832 ; vol. 70). - URL: http://dx.doi.org/10.1007/978-3-642-17946-4. - Загл. с экрана. - ISBN 978-3-642-17946-4. - DOI 10.1007/978-3-642-17946-4. - Текст : электронный.
Содержание:
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.

ГРНТИ	УДК
28.29	519.876.5

Рубрики:
engineering
statistical physics
computational intelligence
complexity, Computational
engineering
complexity
nonlinear Dynamics
computational Intelligence

Аннотация: 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.

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