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Agent Based Social Simulation: a Computer Science View

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Abstract

A description of the area of Agent Based Social Simulation (ABSS) from a computer scientist’s perspective is presented. We begin by defining ABSS by positioning it with respect to the three research areas that it is related to, i.e., agent-based computing, the social sciences, and computer simulation. We then discuss the role of ABSS and how it may aid cross-fertilisation between these areas.

Suggested Citation

  • Paul Davidsson, 2002. "Agent Based Social Simulation: a Computer Science View," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 5(1), pages 1-7.
    • Handle: RePEc:jas:jasssj:2001-21-1
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    File URL: http://jasss.soc.surrey.ac.uk/5/1/7.html
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    1. Ingunn Y. Gudbrandsdottir & Gudrun Olafsdottir & Gudmundur Valur Oddsson & Hlynur Stefansson & Sigurdur G. Bogason, 2021. "Operationalization of Interorganizational Fairness in Food Systems: From a Social Construct to Quantitative Indicators," Agriculture, MDPI, vol. 11(1), pages 1-24, January.
    2. Cathal O'Donoghue & Gijs Dekkers, 2018. "Increasing the Impact of Dynamic Microsimulation Modelling," International Journal of Microsimulation, International Microsimulation Association, vol. 11(1), pages 61-96.
    3. Georg Jäger & Christian Hofer & Manfred Füllsack, 2019. "The Benefits of Randomly Delayed Charging of Electric Vehicles," Sustainability, MDPI, vol. 11(13), pages 1-11, July.
    4. Sina Hocke & Matthias Meyer & Iris Lorscheid, 2015. "Improving simulation model analysis and communication via design of experiment principles: an example from the simulation-based design of cost accounting systems," Journal of Management Control: Zeitschrift für Planung und Unternehmenssteuerung, Springer, vol. 26(2), pages 131-155, August.
    5. Georg Jäger & Laura S. Zilian & Christian Hofer & Manfred Füllsack, 2019. "Crowdworking: working with or against the crowd?," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 14(4), pages 761-788, December.
    6. Liukun Wang & Chunjie Qi & Peng Jiang & Si Xiang, 2022. "The Impact of Blockchain Application on the Qualification Rate and Circulation Efficiency of Agricultural Products: A Simulation Analysis with Agent-Based Modelling," IJERPH, MDPI, vol. 19(13), pages 1-17, June.
    7. Roland Barthel & Stephan Janisch & Darla Nickel & Aleksandar Trifkovic & Thomas Hörhan, 2010. "Using the Multiactor-Approach in G lowa-Danube to Simulate Decisions for the Water Supply Sector Under Conditions of Global Climate Change," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(2), pages 239-275, January.
    8. Fu-ren Lin & Shyh-ming Lin, 2006. "Enhancing the Supply Chain Performance by Integrating Simulated and Physical Agents into Organizational Information Systems," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 9(4), pages 1-1.
    9. Darius Plikynas & Arūnas Miliauskas & Rimvydas Laužikas & Vytautas Dulskis & Leonidas Sakalauskas, 2022. "The cultural impact on social cohesion: an agent-based modeling approach," Quality & Quantity: International Journal of Methodology, Springer, vol. 56(6), pages 4161-4192, December.
    10. Yu Zhang & Yu Wu, 2012. "How behaviors spread in dynamic social networks," Computational and Mathematical Organization Theory, Springer, vol. 18(4), pages 419-444, December.
    11. Jonas Hauke & Iris Lorscheid & Matthias Meyer, 2017. "Recent Development of Social Simulation as Reflected in JASSS Between 2008 and 2014: A Citation and Co-Citation Analysis," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 20(1), pages 1-5.
    12. Tibor Bosse & Charlotte Gerritsen, 2010. "Social Simulation and Analysis of the Dynamics of Criminal Hot Spots," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 13(2), pages 1-5.
    13. 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.
    14. Whan-Seon Kim, 2009. "Effects of a Trust Mechanism on Complex Adaptive Supply Networks: An Agent-Based Social Simulation Study," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 12(3), pages 1-4.
    15. Alfonso González-Briones & Fernando De La Prieta & Mohd Saberi Mohamad & Sigeru Omatu & Juan M. Corchado, 2018. "Multi-Agent Systems Applications in Energy Optimization Problems: A State-of-the-Art Review," Energies, MDPI, vol. 11(8), pages 1-28, July.

    More about this item

    Keywords

    Agent-based social simulation; agent-based computing; computer simulation; social science;
    All these keywords.

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    1. Multiagentní sociální simulace in Wikipedia Czech

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