Modeling multi-level systems

Autor*innen

• Octavian Iordache

Parameter

• Mathematik

Mehr zum Buch

This book focuses on modeling multi-level complex systems, a challenging area for engineers, researchers, and entrepreneurs navigating the shift from learning and adaptability to evolvability and autonomy in technologies and problem-solving methods. It begins by introducing multi-scale and multi-level systems, emphasizing their relevance across various scientific and technological fields. Methodologies such as random systems, non-Archimedean analysis, category theory, and techniques like model categorification and integrative closure are explored. The discussion progresses to polystochastic models (PSM) and their developments, with a categorical formulation of integrative closure providing a flexible framework for diverse multi-level modeling challenges. Case studies in chapters 5 to 8 focus on chemical engineering, pharmaceuticals, and environmental issues, analyzing mixing, turbulent dispersion, and entropy production. Drawing from systems sciences, chapters 9 to 11 examine the potential of multi-level modeling in formal concept analysis, existential graphs, and evolvable experimental designs, with applications in separation flow-sheets, drug design, and reliability management. The final chapter discusses future perspectives, highlighting promising areas such as autonomous systems, multi-agent frameworks, and organic computing. This work is intended for engineers, researchers, entrepreneurs, and students in relevant fields,

• Sprache: Englisch
• Erscheinungsdatum: 2011
• Einband: Hardcover