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Agent-Base Modeling : For Beginners
Agent-Based Modeling for A Practical Guide to Simulating Complex Systems Agent-Based Modeling for Understanding Complex Systems is your comprehensive, beginner-friendly guide to the fascinating world of agent-based modeling (ABM)—a powerful simulation method used to explore how individual actions lead to complex outcomes in systems across science, society, and technology.Written with clarity and accessibility in mind, this book demystifies the essential concepts behind ABM and shows readers how simple rules at the individual level can give rise to surprising, emergent patterns at the system level. Whether you are a student, researcher, hobbyist, or professional stepping into the world of modeling for the first time, this book provides the tools and understanding needed to build, analyze, and interpret agent-based models confidently.Inside, you'll
Step-by-step explanations of core ABM principles, including agents, environments, rules, interactions, and emergence.
Real-world examples and analogies from ecology, economics, social sciences, traffic systems, disease spread, and more.
Hands-on walkthroughs using NetLogo—one of the most widely used ABM platforms—complete with annotated code samples and exercises.
Practical guidance on designing your own ABM projects, validating models, analyzing results, and avoiding common pitfalls.
Explorations of complex systems, showing how ABM provides insights into real-world phenomena that are otherwise difficult to study. A forward-looking chapter on the future of ABM, covering emerging technologies, ethical considerations, and career opportunities in this evolving field.The book also includes valuable appendices, such as a sample NetLogo project, a detailed ABM project checklist, and a curated list of recommended books, journals, and online resources to help you deepen your knowledge.
Whether your interests lie in urban planning, public health, behavioral science, artificial intelligence, or environmental systems, this book equips you with the foundational knowledge to model, simulate, and better understand the complex, interconnected world we live in.
Start your journey into the world of complexity today. With this guide in hand, you'll learn not only how to build agent-based models—but also how to think like a modeler.
Step-by-step explanations of core ABM principles, including agents, environments, rules, interactions, and emergence.
Real-world examples and analogies from ecology, economics, social sciences, traffic systems, disease spread, and more.
Hands-on walkthroughs using NetLogo—one of the most widely used ABM platforms—complete with annotated code samples and exercises.
Practical guidance on designing your own ABM projects, validating models, analyzing results, and avoiding common pitfalls.
Explorations of complex systems, showing how ABM provides insights into real-world phenomena that are otherwise difficult to study. A forward-looking chapter on the future of ABM, covering emerging technologies, ethical considerations, and career opportunities in this evolving field.The book also includes valuable appendices, such as a sample NetLogo project, a detailed ABM project checklist, and a curated list of recommended books, journals, and online resources to help you deepen your knowledge.
Whether your interests lie in urban planning, public health, behavioral science, artificial intelligence, or environmental systems, this book equips you with the foundational knowledge to model, simulate, and better understand the complex, interconnected world we live in.
Start your journey into the world of complexity today. With this guide in hand, you'll learn not only how to build agent-based models—but also how to think like a modeler.
153 pages, Kindle Edition
Published May 4, 2025
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