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Introduction to Agent-Based Modeling : Modeling Natural, Social, and Engineer...

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Condition:
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Item specifics

Condition
Good
A book that has been read, but is in good condition. Minimal damage to the book cover eg. scuff marks, but no holes or tears. If this is a hard cover, the dust jacket may be missing. Binding has minimal wear. The majority of pages are undamaged with some creasing or tearing, and pencil underlining of text, but this is minimal. No highlighting of text, no writing in the margins, and no missing pages. See the seller’s listing for full details and description of any imperfections. See all condition definitionsopens in a new window or tab
Seller notes
“May show signs of wear, highlighting, writing, and previous use. This item may be a former library ...
Book Title
Introduction to Agent-Based Modeling : Modeling Natural, Social,
ISBN
9780262731898

About this product

Product Identifiers

Publisher
MIT Press
ISBN-10
0262731894
ISBN-13
9780262731898
eBay Product ID (ePID)
202496125

Product Key Features

Number of Pages
504 Pages
Publication Name
Introduction to Agent-Based Modeling : Modeling Natural, Social, and Engineered Complex Systems with NetLogo
Language
English
Publication Year
2015
Subject
Programming Languages / General, Computer Simulation, Computer Science, System Theory
Type
Textbook
Author
Uri Wilensky, William Rand
Subject Area
Computers, Science
Format
Trade Paperback

Dimensions

Item Height
1.2 in
Item Weight
43.4 Oz
Item Length
9 in
Item Width
8.1 in

Additional Product Features

Intended Audience
Trade
LCCN
2014-023747
TitleLeading
An
Illustrated
Yes
Synopsis
A comprehensive and hands-on introduction to the core concepts, methods, and applications of agent-based modeling, including detailed NetLogo examples. The advent of widespread fast computing has enabled us to work on more complex problems and to build and analyze more complex models. This book provides an introduction to one of the primary methodologies for research in this new field of knowledge. Agent-based modeling (ABM) offers a new way of doing science- by conducting computer-based experiments. ABM is applicable to complex systems embedded in natural, social, and engineered contexts, across domains that range from engineering to ecology. An Introduction to Agent-Based Modeling offers a comprehensive description of the core concepts, methods, and applications of ABM. Its hands-on approach-with hundreds of examples and exercises using NetLogo-enables readers to begin constructing models immediately, regardless of experience or discipline. The book first describes the nature and rationale of agent-based modeling, then presents the methodology for designing and building ABMs, and finally discusses how to utilize ABMs to answer complex questions. Features in each chapter include step-by-step guides to developing models in the main text; text boxes with additional information and concepts; end-of-chapter explorations; and references and lists of relevant reading. There is also an accompanying website with all the models and code., A comprehensive and hands-on introduction to the core concepts, methods, and applications of agent-based modeling, including detailed NetLogo examples. The advent of widespread fast computing has enabled us to work on more complex problems and to build and analyze more complex models. This book provides an introduction to one of the primary methodologies for research in this new field of knowledge. Agent-based modeling (ABM) offers a new way of doing science: by conducting computer-based experiments. ABM is applicable to complex systems embedded in natural, social, and engineered contexts, across domains that range from engineering to ecology. An Introduction to Agent-Based Modeling offers a comprehensive description of the core concepts, methods, and applications of ABM. Its hands-on approach--with hundreds of examples and exercises using NetLogo--enables readers to begin constructing models immediately, regardless of experience or discipline. The book first describes the nature and rationale of agent-based modeling, then presents the methodology for designing and building ABMs, and finally discusses how to utilize ABMs to answer complex questions. Features in each chapter include step-by-step guides to developing models in the main text; text boxes with additional information and concepts; end-of-chapter explorations; and references and lists of relevant reading. There is also an accompanying website with all the models and code.
LC Classification Number
T57.62.W54 2015

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