Overview
- Overviews the modeling of multi-level complex systems
- Demonstrates the emerging interdisciplinary importance of modeling multi-level complex systems with major practical interest
- Written by a leading expert in the field
Part of the book series: Understanding Complex Systems (UCS)
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Table of contents (14 chapters)
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Front Matter
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Back Matter
Keywords
About this book
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.
Authors and Affiliations
Bibliographic Information
Book Title: Modeling Multi-Level Systems
Authors: Octavian Iordache
Series Title: Understanding Complex Systems
DOI: https://doi.org/10.1007/978-3-642-17946-4
Publisher: Springer Berlin, Heidelberg
eBook Packages: Physics and Astronomy, Physics and Astronomy (R0)
Copyright Information: Springer Berlin Heidelberg 2011
Hardcover ISBN: 978-3-642-17945-7Published: 07 February 2011
Softcover ISBN: 978-3-642-42368-0Published: 11 October 2014
eBook ISBN: 978-3-642-17946-4Published: 05 February 2011
Series ISSN: 1860-0832
Series E-ISSN: 1860-0840
Edition Number: 1
Number of Pages: XV, 232
Topics: Complexity, Applications of Nonlinear Dynamics and Chaos Theory, Computational Intelligence