Design of Agent-Based Models

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While many publications focus on the theory of multi-agent systems and agent-based simulations, practical development information is limited. This book aims to bridge that gap by providing accessible knowledge on designing and developing agent-based simulations. It starts with the fundamentals of multi-agent systems, discussing agent principles, interactions, and the philosophy of agent-based programming. The text also addresses the drawbacks and limitations inherent in agent-based models. The core of the book is dedicated to methodology and best practices for developing agent-based simulation software, introducing a framework called Agentology. This methodology guides readers through the entire development process, from defining the problem and conceptual modeling to selecting a development platform, programming, debugging, and assessing the model. It includes a visual language for representing the conceptual model and compares various multi-agent development environments and tools to aid in selecting the right instruments. With its accessible theoretical foundation supported by practical examples, figures, schemes, and source codes, this publication serves as an excellent textbook for introductory graduate courses on multi-agent systems and agent-based modeling. It appeals not only to students and the scientific community but also to software architects and developers unfamiliar with agent principles, offering valuable in