Abstract
As social context becomes a more central concept for social simulation, different approaches to context have been developed. We discuss four of these with the help of an overall Contextual Action Framework for Computational Agents (CAFCA). More in particular, we describe how the consumat model, social norms, collective reasoning, and social practices can be related to each other using CAFCA. Following this we show how these approaches than can co-exist in the analysis and simulation of social phenomena rather than compete or be seen as mutually exclusive.
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References
B. Edmonds, ‘How social simulation could help social science deal with context’, in Advances in Social Simulation - Looking in the Mirror, forthcoming
L. Yang, N. Gilbert, Getting away from numbers: Using qualitativ observation for agent-based modeling. Adv. Complex Syst. 11(2), 175–185, Apr (2008). https://doi.org/10.1142/s0219525908001556
Chattoe-Brown E (2016) Gin and tonic or oil and water? Can we integrate research methods rather than just “mixing” them? A case study of social mobility research, Nov. 11 (2016)
C. Elsenbroich, H. Verhagen, The simplicity of complex agents: a contextual action framework for computational agents. Mind Soc. 15(1), 131–143, Sep (2015). https://doi.org/10.1007/s11299-015-0183-y
W. Jager, M.A. Janssen, H.J.M. De Vries, J. De Greef, C.A.J. Vlek, Behaviour in commons dilemmas: Homo economicus and Homo psychologicus in an ecological-economic model. Ecol. Econ. 35(3), 357–379, Dec (2000). https://doi.org/10.1016/s0921-8009(00)00220-2
W. Jager, M.A. Janssen, An updated conceptual framework for integrated modelling of human decision making: The Consumat II, in Proceedings of the Complexity in the Real-World Workshop (2012)
M. Neumann, Homo socionicus: a case study of simulation models of norms. J. Artif. Soc. Social Simul. 11(4) (2008). https://jasss.soc.surrey.ac.uk/11/4/6.html
M. Neumann, Norm internalisation in human and artificial intelligence. J. Artif. Soc. Social Simul. 13(1) (2010). https://doi.org/10.18564/jasss.1582
R. Conte, G. Andrighetto, and M. Campennì, Eds., Minding norms: Mechanisms and dynamics of social order in agent societies. Oxford University Press, 2014.
E. Ostrom, Governing the Commons. The Evolution of Institutions for Collective Action (Cambridge University Press, New York, 1990).
D. Eek, A. Biel, The interplay between greed, efficiency, and fairness in public-goods dilemmas. Social Justice Res. 16(3), 195–215 (2003). https://doi.org/10.1023/a:1025984611796
J. de Boer, Collective intention, social identity, and rational choice. J. Econ. Methodol. 15(2), 169–184, Jun (2008). https://doi.org/10.1080/13501780801919139
N. Gold, R. Sugden, Eds., Michael Bacharach: Beyond Individual Choice: Teams and Frames in Game Theory. Princeton University Press
C. Elsenbroich, The Addio Pizzo movement: exploring social change using agent-based modelling. Trends Organized Crime 20(1), 120–138, Jun (2017). https://doi.org/10.1007/s12117-016-9288-x
C. Elsenbroich, N. Payette, Choosing to cooperate: Modelling public goods games with team reasoning. J. Choice Modell. 34, 100203, Mar (2020). https://doi.org/10.1016/j.jocm.2020.100203
H. Verhagen, C. Elsenbroich, K. Fällström, Modelling contextual decision-making in dilemma games. Adv. Social Simul. 2017, 121–127 (2015)
F. Guala, Reciprocity: Weak or strong? What punishment experiments do (and do not) demonstrate, Behav. Brain Sci. 35(1), 1–15, Jan (2012). https://doi.org/10.1017/s0140525x11000069
E. Kiesling, M. Günther, C. Stummer, L.M. Wakolbinger, Agent-based simulation of innovation diffusion: a review, Central Europ. J. Oper. Res. 20(2), 183–230, May (2011). https://doi.org/10.1007/s10100-011-0210-y
R. Axelrod, W. Hamilton, The evolution of cooperation. Science 211(4489), 1390–1396, Mar (1981). https://doi.org/10.1126/science.7466396
W. Thorngate, Book review of “Minding Norms: Mechanisms and Dynamics of Social Order in Agent Societies” (Oxford Series on Cognitive Models and Architectures), Conte, R., Andrighetto, G., & Campenni, M. (eds.). J. Artif. Soc. Social Simul. (2014). https://jasss.soc.surrey.ac.uk/17/3/reviews/3.html
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Elsenbroich, C., Verhagen, H. (2021). Integrating CAFCA—A Lens to Interpret Social Phenomena. In: Ahrweiler, P., Neumann, M. (eds) Advances in Social Simulation. ESSA 2019. Springer Proceedings in Complexity. Springer, Cham. https://doi.org/10.1007/978-3-030-61503-1_15
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