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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