Introduction to the Modeling and Analysis of Complex Systems

Format:

Book

Author/Creator:

Sayama, Hiroki, author.

Language:

English

Subjects (All):

Computer science--Textbooks.

Computer science.

Physical Description:

1 online resource

Place of Publication:

[Place of publication not identified] Open SUNY [2015]

Language Note:

In English.

Summary:

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.

Contents:

Introduction

Fundamentals of Modeling

Basics of Dynamical Systems

Discrete-Time Models I: Modeling

Discrete-Time Models II: Analysis

Continuous-Time Models I: Modeling

Continuous-Time Models II: Analysis

Bifurcations

Chaos

Interactive Simulation of Complex Systems

Cellular Automata I: Modeling

Cellular Automata II: Analysis

Continuous Field Models I: Modeling

Continuous Field Models II: Analysis

Basics of Networks

Dynamical Networks I: Modeling

Dynamical Networks II: Analysis of Network Topologies

Dynamical Networks III: Analysis of Network Dynamics

Agent-Based Models

Notes:

CC BY-SA

Description based on print resource

OCLC:

918567125