Agent-Based Modeling of Social Complex Systems
This thesis proposal aims to provide a new approach to the study of complex adaptive systems in social sciences through a methodological framework for modeling and simulating these systems like artificial societies. Agent based modeling (ABM) is well fitted for the study of social systems as it focuses on how local interactions among agents generate emergent larger and global social structures and patterns of behavior. The issues addressed by our framework are presented as well as its most important components.
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- 1.Axelrod, R.: Advancing the Art of Simulation in the Social Sciences. In: Conte, R., et al. (eds.) PLILP 1990. Lecture Notes in Economics and Mathematical Systems, vol. 456, pp. 21–40. Berlin Springer, Heidelberg (1997)Google Scholar
- 2.Axtell, R.: Why Agents? On the Varied Motivations for Agent Computing in the Social Sciences, in Working Paper No. 17, center on Social and Economic Dynamics, The Brookings Institution, Washington, DC (2000)Google Scholar
- 3.Coleman, J.C. (ed.): Foundations of Social Theory. ed. M.H.U.P. Cambridge, Harvard University Press, Cambridge, MA (1990)Google Scholar
- 5.Epstein, J.M., Axtell, R.: Growing artificial societies: social science from the bottom up. In: Complex adaptive systems, Brookings Institution Press, Washington, D.C (1996)Google Scholar
- 6.Gilbert, N., Troitzsch, K.G.: Simulation for the Social Scientist. Open University Press, Buckingham, U.K (1996)Google Scholar