Agent-Based Modeling of Sustainable Behaviors
- Amparo Alonso-Betanzos coord. 1
- Noelia Sánchez-Maroño coord. 1
- Oscar Fontenla-Romero coord. 1
- J. Gary Polhill coord. 2
- Tony Craig coord. 3
- Javier Bajo coord. 4
- Juan Manuel Corchado coord. 5
- 1 Facultad de Informática, Universidad de A Coruña, A Coruña, Spain
- 2 Information and Computational ScienceThe James Hutton InstituteAberdeen, ScotlandUnited Kingdom
- 3 Socio-Economic and Geographical SciencesThe James Hutton Institute Aberdeen, Scotland United Kingdom
- 4 Departamento de Inteligencia Artificial, Universidad Politécnica de Madrid, Madrid, Spain
- 5 Departamento de Informática y Automática, Universidad de Salamanca, Salamanca, Spain
Publisher: Springer International Publishing
ISSN: 1860-0832, 1860-0840
ISBN: 9783319463308, 978-3-319-46331-5
Year of publication: 2017
Type: Book
Metrics
SCImago Journal Rank
- Year 2017
- SJR Journal Impact: 0.174
- Best Quartile: Q4
- Area: Artificial Intelligence Quartile: Q4 Rank in area: 367/1268
- Area: Computational Mechanics Quartile: Q4 Rank in area: 58/106
- Area: Software Quartile: Q4 Rank in area: 853/2224
Scopus CiteScore
- Year 2017
- CiteScore of the Journal : 1.0
- Area: Computational Mechanics Percentile: 38
- Area: Artificial Intelligence Percentile: 22
- Area: Software Percentile: 17
Abstract
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.