Abstract
Even though questions related to the micro-macro relationship are fundamentally important for understanding and modeling social systems, important theoretical gaps on this issue continue to exist in the Agent-Based Social Simulation (ABSS) area. To address it we consider a model that explicitly links the micro-level individual communications with the macro-level social phenomena, building up an important formal tool for analyzing social processes and their dynamics in a bottom-up approach. The model lays out a series of key elements from Niklas Luhmann’s Systems Theory and concepts from ABSS.
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References
Ashforth, B.E.: Climate Formation: Issues and Extensions. Academy of Management. The Academy of Management Review 10(4), 837–847 (1985)
Barber, M., Blanchard, P., Buchinger, E., Cessac, B., Streit, L.: Expectation-Driven Interaction: a Model Based on Luhmann’s Contingency Approach. In: JASSS, pp. 9(4) (2006)
Castelfranchi, C., Conte, R.: Cognitive and Social Action, London (1995)
Duong, D.V., Grefenstette, J.: SISTER: a Symbolic Interactionist Simulation of Trade and Emergent Roles. In: JASSS, vol. 8(1) (2005)
HargittaI, E., Centeno, M.A.: Defining a Global Geography. In: American Behavioral Scientist, vol. 10(44) (2001)
Lewin, K.: Field Theory in Social Science. Tavistock Publications, London (1952)
Luhmann, N.: The Autopoiesis of Social Systems. In: Geyer, F., van der Zouwen, J. (eds.) Sociocybernetic Paradoxes. Sage, London (1986)
Luhmann, N.: Social Systems. Stanford University Press, Stanford (1995)
Luhmann, N.: Law as a Social System. Northwestern University, School of Law Northwestern University Law Review 83(1&2) (1988-1989)
Malsch, T.: Naming the Unnamable: Socionics or the Sociological Turn of/to Distributed Artificial Intelligence. In: AAMAS, vol. 4, pp. 155–186 (2001)
Marietto, M., et al.: Requirements Analysis of Agent-Based Simulation Patterns: State of the Art and New Prospects. In: Sichman, J.S., Bousquet, F., Davidsson, P. (eds.) MABS 2002. LNCS (LNAI), vol. 2581, pp. 125–141. Springer, Berlin (2003)
Nickles, M., Weiss, G.: Multiagent systems without agents: mirror-holons for the compilation and enactment of communication structures. In: Fischer, K., Florian, M., Malsch, T. (eds.) Socionics. LNCS (LNAI), vol. 3413, pp. 289–313. Springer, Heidelberg (2005)
Parker, C.P., et al.: Relationships between psychological climate perceptions and work outcomes: a meta-analytic review. Journal of Organizational Behavior 24, 389–416 (2003)
Sawyer, R.K.: Social Emergence: Societies as Complex Systems. Cambridge University Press, Cambridge (2005)
Situngkir, H.: On Massive Conflict: macro-micro Link. In: BFI Working Paper no. WPD 2004. SSRN (2004), http://ssrn.com/abstract=601784
Turner, J.H.: Handbook of Sociological Theory. Kluwer Academic - Plenum Publishers, Dordrecht (2002)
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da Silva, V.L., das Graças Bruno Marietto, M., Ribeiro, C.H.C. (2008). A Multi-agent Model for the Micro-to-Macro Linking Derived from a Computational View of the Social Systems Theory by Luhmann. In: Antunes, L., Paolucci, M., Norling, E. (eds) Multi-Agent-Based Simulation VIII. MABS 2007. Lecture Notes in Computer Science(), vol 5003. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-70916-9_5
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DOI: https://doi.org/10.1007/978-3-540-70916-9_5
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