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Sociology and Social Theory in Agent Based Social Simulation: A Symposium

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  • Rosaria Conte
  • Bruce Edmonds
  • Scott Moss
  • R. Keith Sawyer

Abstract

A lengthy and intensive debate about the role of sociology in agent based social simulation dominated the email list simsoc@jiscmail.ac.uk during the autumn of 2000. The debate turned on the importance of models being devised to capture the properties of whole social systems and whether those properties should determine agent behaviour or, conversely, whether the properties of social systems should emerge from the behaviour and interaction of the agents and, if so, how that emergence should be represented. The positions of four of the main protagonists concerned specifically with the modelling issues are reprised and extended in this symposium.

Suggested Citation

  • Rosaria Conte & Bruce Edmonds & Scott Moss & R. Keith Sawyer, 2001. "Sociology and Social Theory in Agent Based Social Simulation: A Symposium," Computational and Mathematical Organization Theory, Springer, vol. 7(3), pages 183-205, October.
  • Handle: RePEc:spr:comaot:v:7:y:2001:i:3:d:10.1023_a:1012919018402
    DOI: 10.1023/A:1012919018402
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    References listed on IDEAS

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    1. Rosaria Conte & Cristiano Castelfranchi & Vito Veneziano, 1998. "The Computer Simulation of Partnership Formation," Computational and Mathematical Organization Theory, Springer, vol. 4(4), pages 293-315, December.
    2. Juliette Rouchier & François Bousquet & Mélanie Requier-Desjardins & Martine Antona, 2001. "A Multi-Agent Model for Describing Transhumance in North Cameroon: Comparison of Different Rationality to Develop a Routine," Post-Print halshs-00550482, HAL.
    3. Rosaria Conte & Mario Paolucci, 2001. "Intelligent Social Learning," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 4(1), pages 1-3.
    4. Scott Moss, 1998. "Critical Incident Management: an Empirically Derived Computational Model," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 1(4), pages 1-1.
    5. David O'Sullivan & Mordechai Haklay, 2000. "Agent-Based Models and Individualism: Is the World Agent-Based?," Environment and Planning A, , vol. 32(8), pages 1409-1425, August.
    6. Rouchier, Juliette & Bousquet, Francois & Requier-Desjardins, Melanie & Antona, Martine, 2001. "A multi-agent model for describing transhumance in North Cameroon: Comparison of different rationality to develop a routine," Journal of Economic Dynamics and Control, Elsevier, vol. 25(3-4), pages 527-559, March.
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    Cited by:

    1. Lucio Biggiero & Enrico Sevi, 2009. "Opportunism by cheating and its effects on industry profitability. The CIOPS model," Computational and Mathematical Organization Theory, Springer, vol. 15(3), pages 191-236, September.
    2. Riccardo Boero & Marco Castellani & Flaminio Squazzoni, 2008. "Individual behavior and macro social properties. An agent-based model," Computational and Mathematical Organization Theory, Springer, vol. 14(2), pages 156-174, June.
    3. R. Keith Sawyer, 2003. "Artificial Societies," Sociological Methods & Research, , vol. 31(3), pages 325-363, February.
    4. Günter Küppers & Johannes Lenhard, 2005. "Validation of Simulation: Patterns in the Social and Natural Sciences," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 8(4), pages 1-3.
    5. David O'Sullivan, 2009. "Changing Neighborhoods—Neighborhoods Changing," Sociological Methods & Research, , vol. 37(4), pages 498-530, May.
    6. Scott Moss, 2007. "Alternative Approaches to the Empirical Validation of Agent-Based Models," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 11(1), pages 1-5.
    7. Stefano Balbi & Carlo Giupponi, 2009. "Reviewing agent-based modelling of socio-ecosystems: a methodology for the analysis of climate change adaptation and sustainability," Working Papers 2009_15, Department of Economics, University of Venice "Ca' Foscari".
    8. Flaminio Squazzoni, 2008. "A (computational) social science perspective on societal transitions," Computational and Mathematical Organization Theory, Springer, vol. 14(4), pages 266-282, December.

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