Abstract

Citation

Researchers should cite this work as follows:

• Sayama, H. (2023). 2015-H_Sayama-Intro to Modeling and Analysis of Complex Systems. SIMIODE, QUBES Educational Resources. doi:10.25334/E4QB-1F11

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Article Context

Description

Sayama, H. 2015. Intro to Modeling and Analysis of Complex Systems. Geneseo NY: Open SUNY Textbooks. 498 pp.

Available at https://textbooks.opensuny.org/introduction-to-the-modeling-and-analysis-of-complex-systems/ . Accessed 1 April 2023.

From web site, “Introduction to the Modeling and Analysis of Complex Systems introduces students to mathematical/computational modeling and analysis developed in the emerging interdisciplinary field of Complex Systems Science. Complex systems are systems made of a large number of microscopic components interacting with each other in nontrivial ways. Many real-world systems can be understood as complex systems, where critically important information resides in the relationships between the parts and not necessarily within the parts themselves. 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. Most of these topics are discussed in two chapters, one focusing on computational modeling and the other on mathematical analysis. This unique approach provides a comprehensive view of related concepts and techniques, and allows readers and instructors to flexibly choose relevant materials based on their objectives and needs. Python sample codes are provided for each modeling example.”

There are four chapters on discrete and continuous change models with some applications and analysis, in addition to a rich set of qualitative sections. There are few exercises, but here is a thoughtful one,

“When a new pop song is released, it sounds attractive to people and its popularity increases. After people get used to the song, however, it begins to sound boring to them, and its popularity goes down. Develop a continuous-time mathematical model that captures such rise and fall in a typical pop song’s life, and simulate its behavior.” From page 109.

Keywords: difference equation, differential equation, model, systems, bifurcation, chaos