Modeling Multi-Level Systems

  • Octavian¬†Iordache

Part of the Understanding Complex Systems book series (UCS, volume 70)

Table of contents

  1. Front Matter
  2. Octavian Iordache
    Pages 1-10
  3. Octavian Iordache
    Pages 11-34
  4. Octavian Iordache
    Pages 35-52
  5. Octavian Iordache
    Pages 53-70
  6. Octavian Iordache
    Pages 71-94
  7. Octavian Iordache
    Pages 95-106
  8. Octavian Iordache
    Pages 107-123
  9. Octavian Iordache
    Pages 125-142
  10. Octavian Iordache
    Pages 143-163
  11. Octavian Iordache
    Pages 165-177
  12. Octavian Iordache
    Pages 179-197
  13. Octavian Iordache
    Pages 199-212
  14. Octavian Iordache
    Pages 213-217
  15. Octavian Iordache
    Pages 219-228
  16. Back Matter

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.


Autonomy Complex Systems Multi-Level Complex Systems Multi-Level Systems

Authors and affiliations

  • Octavian¬†Iordache
    • 1
  1. 1.PolystochasticMontrealCanada

Bibliographic information