Agent-based spatial simulation with NetLogo : Vol. 1 : introduction and bases / [electronic resource]
by Banos, Arnaud [editor.]; Lang, Christophe [editor.]; Marilleau, Nicolas [editor.].
Material type:
BookPublisher: London : Elsevier, 2015Description: 1 online resource (ix, 268 pages).ISBN: 9780081007235; 008100723X.Subject(s): System analysis -- Data processing | Computer simulation | Multiagent systems | NetLogo (Computer program language) | SCIENCE -- System Theory | TECHNOLOGY & ENGINEERING -- Operations Research | Computer simulation | Multiagent systems | NetLogo (Computer program language) | System analysis -- Data processing | Operations Research | Computer Science | Engineering & Applied Sciences | Civil & Environmental Engineering | Electronic booksOnline resources: ScienceDirect Summary: Agent-based modeling is a flexible and intuitive approach that is close to both data and theories, which gives it a special position in the majority of scientific communities. Agent models are as much tools of understanding, exploration and adaptation as they are media for interdisciplinary exchange. It is in this kind of framework that this book is situated, beginning with agent-based modeling of spatialized phenomena with a methodological and practical orientation. Through a governing example, taking inspiration from a real problem in epidemiology, this book proposes, with pedagogy and economy, a guide to good practices of agent modeling. The reader will thus be able to understand and put the modeling into practice and acquire a certain amount of autonomy.
Includes bibliographical references and index.
Print version record.
Agent-based modeling is a flexible and intuitive approach that is close to both data and theories, which gives it a special position in the majority of scientific communities. Agent models are as much tools of understanding, exploration and adaptation as they are media for interdisciplinary exchange. It is in this kind of framework that this book is situated, beginning with agent-based modeling of spatialized phenomena with a methodological and practical orientation. Through a governing example, taking inspiration from a real problem in epidemiology, this book proposes, with pedagogy and economy, a guide to good practices of agent modeling. The reader will thus be able to understand and put the modeling into practice and acquire a certain amount of autonomy.
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