IDEAS home Printed from https://ideas.repec.org/a/jas/jasssj/2007-88-2.html
   My bibliography  Save this article

Towards a Community Framework for Agent-Based Modelling

Author

Abstract

Agent-based modelling has become an increasingly important tool for scholars studying social and social-ecological systems, but there are no community standards on describing, implementing, testing and teaching these tools. This paper reports on the establishment of the Open Agent-Based Modelling Consortium, www.openabm.org, a community effort to foster the agent-based modelling development, communication, and dissemination for research, practice and education.

Suggested Citation

  • Marco A. Janssen & Lilian N. Alessa & C. Michael Barton & Sean Bergin & Allen Lee, 2008. "Towards a Community Framework for Agent-Based Modelling," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 11(2), pages 1-6.
  • Handle: RePEc:jas:jasssj:2007-88-2
    as

    Download full text from publisher

    File URL: https://www.jasss.org/11/2/6/6.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Lilian N. Alessa & Melinda Laituri & C. Michael Barton, 2006. "An "All Hands" Call to the Social Science Community: Establishing a Community Framework for Complexity Modeling Using Agent Based Models and Cyberinfrastructure," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 9(4), pages 1-6.
    2. Daniel G. Brown & Rick Riolo & Derek T. Robinson & Michael North & William Rand, 2005. "Spatial process and data models: Toward integration of agent-based models and GIS," Journal of Geographical Systems, Springer, vol. 7(1), pages 25-47, October.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Barton, C. Michael & Ullah, Isaac I.T. & Bergin, Sean M. & Mitasova, Helena & Sarjoughian, Hessam, 2012. "Looking for the future in the past: Long-term change in socioecological systems," Ecological Modelling, Elsevier, vol. 241(C), pages 42-53.
    2. Moritz, Mark & Hamilton, Ian M. & Yoak, Andrew J. & Scholte, Paul & Cronley, Jeff & Maddock, Paul & Pi, Hongyang, 2015. "Simple movement rules result in ideal free distribution of mobile pastoralists," Ecological Modelling, Elsevier, vol. 305(C), pages 54-63.
    3. Ringler, Philipp & Keles, Dogan & Fichtner, Wolf, 2016. "Agent-based modelling and simulation of smart electricity grids and markets – A literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 205-215.
    4. Fábio Neves & Pedro Campos & Sandra Silva, 2019. "Innovation and Employment: An Agent-Based Approach," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 22(1), pages 1-8.
    5. Grimm, Volker & Berger, Uta & DeAngelis, Donald L. & Polhill, J. Gary & Giske, Jarl & Railsback, Steven F., 2010. "The ODD protocol: A review and first update," Ecological Modelling, Elsevier, vol. 221(23), pages 2760-2768.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. J. Gareth Polhill & Dawn C. Parker & Daniel Brown & Volker Grimm, 2008. "Using the ODD Protocol for Describing Three Agent-Based Social Simulation Models of Land-Use Change," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 11(2), pages 1-3.
    2. Zhang, Chunxiao & Chen, Min & Li, Rongrong & Fang, Chaoyang & Lin, Hui, 2016. "What's going on about geo-process modeling in virtual geographic environments (VGEs)," Ecological Modelling, Elsevier, vol. 319(C), pages 147-154.
    3. Barton, C. Michael & Ullah, Isaac I.T. & Bergin, Sean M. & Mitasova, Helena & Sarjoughian, Hessam, 2012. "Looking for the future in the past: Long-term change in socioecological systems," Ecological Modelling, Elsevier, vol. 241(C), pages 42-53.
    4. J. Gareth Polhill & Bruce Edmonds, 2007. "Open Access for Social Simulation," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 10(3), pages 1-10.
    5. Lilian N. Alessa & Melinda Laituri & C. Michael Barton, 2006. "An "All Hands" Call to the Social Science Community: Establishing a Community Framework for Complexity Modeling Using Agent Based Models and Cyberinfrastructure," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 9(4), pages 1-6.
    6. Degenne, P. & Lo Seen, D. & Parigot, D. & Forax, R. & Tran, A. & Ait Lahcen, A. & Curé, O. & Jeansoulin, R., 2009. "Design of a Domain Specific Language for modelling processes in landscapes," Ecological Modelling, Elsevier, vol. 220(24), pages 3527-3535.
    7. Mahdi Hashemi & Ali Alesheikh, 2013. "GIS: agent-based modeling and evaluation of an earthquake-stricken area with a case study in Tehran, Iran," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 69(3), pages 1895-1917, December.
    8. Verda Kocabas & Suzana Dragicevic, 2013. "Bayesian networks and agent-based modeling approach for urban land-use and population density change: a BNAS model," Journal of Geographical Systems, Springer, vol. 15(4), pages 403-426, October.
    9. Francis Oloo & Kamran Safi & Jagannath Aryal, 2018. "Predicting Migratory Corridors of White Storks, Ciconia ciconia , to Enhance Sustainable Wind Energy Planning: A Data-Driven Agent-Based Model," Sustainability, MDPI, vol. 10(5), pages 1-22, May.
    10. Sahotra Sarkar & Kelley A Crews-Meyer & Kenneth R Young & Christopher D Kelley & Alexander Moffett, 2009. "A Dynamic Graph Automata Approach to Modeling Landscape Change in the Andes and the Amazon," Environment and Planning B, , vol. 36(2), pages 300-318, April.
    11. Mohammad Vahidnia & Ali Alesheikh & Seyed Alavipanah, 2015. "A multi-agent architecture for geosimulation of moving agents," Journal of Geographical Systems, Springer, vol. 17(4), pages 353-390, October.
    12. Wallentin, Gudrun, 2017. "Spatial simulation: A spatial perspective on individual-based ecology—a review," Ecological Modelling, Elsevier, vol. 350(C), pages 30-41.
    13. Fioretti, Guido, 2010. "Trajectories in Physical Space out of Communications in Acquaintance Space: An Agent-Based Model of a Textile Industrial District," MPRA Paper 24902, University Library of Munich, Germany.
    14. Duncan A. Robertson, 2019. "Spatial Transmission Models: A Taxonomy and Framework," Risk Analysis, John Wiley & Sons, vol. 39(1), pages 225-243, January.
    15. Mark G Shrime & Serufusa Sekidde & Allison Linden & Jessica L Cohen & Milton C Weinstein & Joshua A Salomon, 2016. "Sustainable Development in Surgery: The Health, Poverty, and Equity Impacts of Charitable Surgery in Uganda," PLOS ONE, Public Library of Science, vol. 11(12), pages 1-14, December.
    16. Bonnell, Tyler R. & Sengupta, Raja R. & Chapman, Colin A. & Goldberg, Tony L., 2010. "An agent-based model of red colobus resources and disease dynamics implicates key resource sites as hot spots of disease transmission," Ecological Modelling, Elsevier, vol. 221(20), pages 2491-2500.
    17. Yin, Li, 2007. "Assessing Indirect Spatial Effects of Mountain Tourism Development: an Application of Agent-based Spatial Modeling," Journal of Regional Analysis and Policy, Mid-Continent Regional Science Association, vol. 37(3), pages 1-9.
    18. Tang, Wenwu & Bennett, David A., 2012. "Reprint of: Parallel agent-based modeling of spatial opinion diffusion accelerated using graphics processing units," Ecological Modelling, Elsevier, vol. 229(C), pages 108-118.
    19. Rand, William & Rust, Roland T., 2011. "Agent-based modeling in marketing: Guidelines for rigor," International Journal of Research in Marketing, Elsevier, vol. 28(3), pages 181-193.
    20. Andrew Hoegh & Frank T. Manen & Mark Haroldson, 2021. "Agent-Based Models for Collective Animal Movement: Proximity-Induced State Switching," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 26(4), pages 560-579, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:jas:jasssj:2007-88-2. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Francesco Renzini (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.