Agent-Based Modeling of Sustainable Behaviors

  1. Amparo Alonso-Betanzos coord. 1
  2. Noelia Sánchez-Maroño coord. 1
  3. Oscar Fontenla-Romero coord. 1
  4. J. Gary Polhill coord. 2
  5. Tony Craig coord. 3
  6. Javier Bajo coord. 4
  7. Juan Manuel Corchado coord. 5
  1. 1 Facultad de Informática, Universidad de A Coruña, A Coruña, Spain
  2. 2 Information and Computational ScienceThe James Hutton InstituteAberdeen, ScotlandUnited Kingdom
  3. 3 Socio-Economic and Geographical SciencesThe James Hutton Institute Aberdeen, Scotland United Kingdom
  4. 4 Departamento de Inteligencia Artificial, Universidad Politécnica de Madrid, Madrid, Spain
  5. 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

DOI: 10.1007/978-3-319-46331-5 GOOGLE SCHOLAR


Cited by

  • Web of Science Cited by: 11 (20-10-2023)
  • Dimensions Cited by: 14 (04-03-2023)

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


(Data updated as of 04-03-2023)
  • Total citations: 14
  • Recent citations: 8
  • Field Citation Ratio (FCR): 3.73


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.