Introduction to the Modeling and Analysis of Complex Systems

Livro digital

Título:
Introduction to the Modeling and Analysis of Complex Systems

Autor:
Hiroki Sayama

Categoria:
Tecnologia > Geral

Doador:
Raffaello D. N.

Sinopse:
Introduction to the Modeling and Analysis of Complex Systems begins with a practical problem: how do you describe, simulate, and reason about systems whose behavior comes from many interacting parts rather than from any single component? Its structure makes that question concrete, moving from preliminary chapters on modeling and model-building into a sequence that pairs computational work with analysis, so the reader is always seeing both how a model is built and how it behaves. The table of contents shows a carefully staged progression: fundamentals of modeling, discrete-time models, continuous-time models, bifurcations, chaos, cellular automata, continuous field models, static networks, dynamic networks, and agent-based models. That layout is not just a list of topics, it reveals the book’s method, with most subjects treated in two chapters, one focused on simulation and one on mathematical analysis. The author is the sole voice throughout, and the material keeps returning to the same core ideas of emergence, self-organization, and phase-space thinking. The result is a technically grounded introduction that stays approachable through step-by-step explanations and Python examples. Readers get a broad map of complex systems science, plus the tools to experiment with models across scales, from simple nonlinear dynamics to networks and agent-based systems. It is especially strong for learners who want both conceptual clarity and hands-on modeling practice.