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Agent-based spatial simulation with ...

Banos, Arnaud,

Agent-based spatial simulation with NetLogo.Volume 1,Introduction and bases

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Agent-based spatial simulation with NetLogo.edited by Arnaud Banos, Christophe Lang, Nicolas Marilleau.
其他題名:	Introduction and bases
其他作者:	Banos, Arnaud,
出版者:	London :ISTE Press/Elsevier,2015.
面頁冊數:	1 online resource (ix, 268 p.)
標題:	System analysisData processing.
電子資源:	https://www.sciencedirect.com/science/book/9781785480553
ISBN:	9780081007235 (electronic bk.)

Agent-based spatial simulation with NetLogo.Volume 1,Introduction and bases
Agent-based spatial simulation with NetLogo.Volume 1,Introduction and bases[electronic resource] /Introduction and basesedited by Arnaud Banos, Christophe Lang, Nicolas Marilleau. - London :ISTE Press/Elsevier,2015. - 1 online resource (ix, 268 p.)

Includes bibliographical references and index.

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.

ISBN: 9780081007235 (electronic bk.)Subjects--Topical Terms:

182728
System analysis
--Data processing.Index Terms--Genre/Form:

214472
Electronic books.

LC Class. No.: T57.62 / .W54 2015

Dewey Class. No.: 003/.3

Agent-based spatial simulation with NetLogo.Volume 1,Introduction and bases
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520 $a 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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