Agent-Based Modeling of Sustainable Behaviors (Hardcover, 1st ed. 2017)


Using the O.D.D. (Overview, Design concepts, Detail) protocol, this title explores the role of agent-based modeling in predicting the feasibility of various approaches to sustainability. The chapters incorporated in this volume consist of real case studies to illustrate the utility of agent-based modeling and complexity theory in discovering a path to more efficient and sustainable lifestyles. The topics covered within include: households' attitudes toward recycling, designing decision trees for representing sustainable behaviors, negotiation-based parking allocation, auction-based traffic signal control, and others. This selection of papers will be of interest to social scientists who wish to learn more about agent-based modeling as well as experts in the field of agent-based modeling.

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Product Description

Using the O.D.D. (Overview, Design concepts, Detail) protocol, this title explores the role of agent-based modeling in predicting the feasibility of various approaches to sustainability. The chapters incorporated in this volume consist of real case studies to illustrate the utility of agent-based modeling and complexity theory in discovering a path to more efficient and sustainable lifestyles. The topics covered within include: households' attitudes toward recycling, designing decision trees for representing sustainable behaviors, negotiation-based parking allocation, auction-based traffic signal control, and others. This selection of papers will be of interest to social scientists who wish to learn more about agent-based modeling as well as experts in the field of agent-based modeling.

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Product Details

General

Imprint

Springer International Publishing AG

Country of origin

Switzerland

Series

Understanding Complex Systems

Release date

2017

Availability

Expected to ship within 12 - 17 working days

First published

2017

Editors

, , , , , ,

Dimensions

235 x 155 x 22mm (L x W x T)

Format

Hardcover

Pages

257

Edition

1st ed. 2017

ISBN-13

978-3-319-46330-8

Barcode

9783319463308

Categories

LSN

3-319-46330-6



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