Introduction to the Modeling and Analysis of Complex Systems
by Hiroki Sayama
Publisher: Open SUNY Textbooks 2015
Number of pages: 498
This textbook offers an accessible yet technically-oriented introduction to the modeling and analysis of complex systems. The topics covered include: fundamentals of modeling, basics of dynamical systems, discrete-time models, continuous-time models, bifurcations, chaos, cellular automata, continuous field models, static networks, dynamic networks, and agent-based models.
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by Ida Russakoff Hoos - University of California Press
This is an inquiry into systems analysis, its origin and applications, its uses and abuses, its present impact and future implications. Systems analysis requires serious contemplation because of its central role in public planning.
by Cosma Rohilla Shalizi - arXiv
The main methods and techniques of complex systems science. It distinguishes among the broad patterns which recur across complex systems, the topics complex systems science studies, the tools employed, and the foundational science of complex systems.
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by Heikki Hyotyniemi - Helsinki University of Technology
This report summarizes ten levels of abstraction - from the most elementary to the most general levels when modeling biological systems. The neocybernetic principles can be seen as the key to reaching a holistic view of complex processes in general.