Abstract
In this chapter, we describe the main characteristics of agent-based modelling. Agent-based modelling is a computational method that enables researchers to create, analyse, and experiment with models composed of autonomous and heterogeneous agents that interact within an environment, in order to identify the mechanisms that bring about some macroscopic phenomenon of interest.
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References
Abdou, M., Hamill, L., & Gilbert, N. (2012). Designing and building an agent-based model. In A. J. Heppenstall, A. T. Crooks, L. M. See, & M. Batty (Eds.), Agent-based models of geographical systems (pp. 141–165). Dordrecht: Springer Netherlands.
Akerlof, G. A., & Kranton, R. E. (2002). Identity and schooling: Some Lessons for the economics of education. Journal of Economic Literature, 40(4), 1167–1201.
Axelrod, R. (1997). Advancing the art of simulation in the social sciences. Complexity, 3(2), 16–22.
Axtell, R., Axelrod, R., Epstein, J. M., & Cohen, M. D. (1996). Aligning simulation models: A case study and results. Computational & Mathematical Organization Theory, 1(2), 123–141.
Baloff, N. (1971). Extension of the learning curve – some empirical results. Operational Research Quarterly (1970–1977), 22(4), 329–340.
Bearman, P. S., Moody, J., & Stovel, K. (2004). Chains of affection: The structure of adolescent romantic and sexual networks. The American Journal of Sociology, 110(1), 44–91.
Beckerman, T. M., & Good, T. L. (1981). The classroom ratio of high- and low-aptitude students and its effect on achievement. American Educational Research Journal, 18(3), 317–327.
Bianchi, C., Cirillo, P., Gallegati, M., & Vagliasindi, P. (2007). Validating and calibrating agent-based models: A case study. Computational Economics, 30(3), 245–264.
Calvó-Armengol, A., Patacchini, E., & Zenou, Y. (2009). Peer effects and social networks in education. Review of Economic Studies, 76(4), 1239–1267.
Castellani, B., & Hafferty, F. W. (2009). Sociology and complexity science. Berlin, Heidelberg: Springer.
Coleman, J. S. (1966). Equality of educational opportunity study (EEOS). Washington: National Center for Educational Statistics.
de Boer, H., Bosker, R. J., & van der Werf, M. P. C. (2010). Sustainability of teacher expectation bias effects on long-term student performance. Journal of Educational Psychology, 102(1), 168–179.
de Vos, H. (1995). Using simulation to study school effectiveness. Presented at the The Annual Meeting of the European Council on Educational Research, Bath, England.
Epstein, J. M. (1999). Agent-based computational models and generative social science. Complexity, 4(5), 41–60.
Epstein, J. M. (2007). Generative social science: Studies in agent-based computational modeling. New Jersey: Princeton University Press.
Epstein, J. M., & Axtell, R. L. (1995). Growing artificial societies: Social science from the bottom up. Washington, D.C.: Brookings Institution, U.S.
Fagiolo, G., Moneta, A., & Windrum, P. (2007). A critical guide to empirical validation of agent-based models in economics: Methodologies, procedures, and open problems. Computational Economics, 30(3), 195–226.
Gilbert, N. (2007). Agent-based models. California: Sage Publications Ltd.
Gilbert, N., & Troitzsch, K. G. (2005). Simulation for the social scientist (2nd ed.). Glasgow: Open University Press.
Halliday, T. J., & Kwak, S. (2012). What is a peer? The role of network definitions in estimation of endogenous peer effects. Applied Economics, 44, 289–302.
Hanushek, E. A., Kain, J. F., Markman, J. M., & Rivkin, S. G. (2003). Does peer ability affect student achievement? Journal of Applied Econometrics, 18(5), 527–544.
Hedström, P. (2005). Dissecting the social: On the principles of analytical sociology. Cambridge: Cambridge University Press.
Hedström, P., & Swedberg, R. (1996). Social mechanisms. Acta Sociologica, 39(3), 281–308.
Hedström, P., & Ylikoski, P. (2010). Causal mechanisms in the social sciences. Annual Review of Sociology, 36(1), 49–67.
Jæger, M. M. (2007). Economic and social returns to educational choices. Rationality and Society, 19(4), 451–483.
Jussim, L., & Harber, K. D. (2005). Teacher expectations and self-fulfilling prophecies: Knowns and unknowns, resolved and unresolved controversies. Personality and Social Psychology Review, 9(2), 131–155.
Kandel, D. B. (1978). Homophily, selection, and socialization in adolescent friendships. The American Journal of Sociology, 84(2), 427–436.
Kleindorfer, G. B., O’Neill, L., & Ganeshan, R. (1998). Validation in simulation: Various positions in the philosophy of science. Management Science, 44(8), 1087–1099.
Macy, M. W., & Willer, R. (2002). From factors to actors: Computational sociology and agent-based modeling. Annual Review of Sociology, 28(1), 143–166.
Manson, S. M., Sun, S., & Bonsal, D. (2012). Agent-based modeling and complexity. In A. J. Heppenstall, A. T. Crooks, L. M. See, & M. Batty (Eds.), Agent-based models of geographical systems (pp. 125–139). Dordrecht: Springer Netherlands.
McPherson, M., Smith-Lovin, L., & Cook, J. M. (2001). Birds of a feather: Homophily in social networks. Annual Review of Sociology, 27(1), 415–444.
Merton, R. K. (1968). Social theory and social structure. New York: Free Press.
Miller, J. H., & Page, S. E. (2007). Complex adaptive systems: An Introduction to computational models of social life. Princeton University Press.
Nuttall, D. L., Goldstein, H., Prosser, R., & Rasbash, J. (1989). Differential school effectiveness. International Journal of Educational Research, 13(7), 769–776.
R Development Core Team. (2011). R: A language and environment for statistical computing. Vienna, Austria. Retrieved from http://www.R-project.org.
Rist, R. (2000). Student social class and teacher expectations: The self-fulfilling prophecy in ghetto education. Harvard Educational Review, 70(3), 257–302.
Rosenthal, R., & Jacobson, L. (1968). Pygmalion in the classroom: Teacher expectation and pupils’ intellectual development (First Printing.). New York: Holt, Rinehart & Winston.
Sammons, P., Nuttall, D., & Cuttance, P. (1993). Differential school effectiveness: Results from a reanalysis of the inner London education authority’s junior school project data. British Educational Research Journal, 19(4), 381–405.
Weinberg, B. A. (2007). Social interactions with endogenous associations. National Bureau of Economic Research Working Paper Series, No. 13038.
Wilensky, U. (1997). NetLogo party model. Evanston, IL.: Center for connected learning and computerbased modeling, Northwestern University. Retrieved from http://ccl.northwestern.edu/netlogo/models/Party.
Wilensky, U. (2011). NetLogo. Center for connected learning and computer-based modeling. Northwestern University, Evanston, IL. Retrieved from http://ccl.northwestern.edu/netlogo.
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Salgado, M., Gilbert, N. (2013). Agent Based Modelling. In: Teo, T. (eds) Handbook of Quantitative Methods for Educational Research. SensePublishers, Rotterdam. https://doi.org/10.1007/978-94-6209-404-8_12
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DOI: https://doi.org/10.1007/978-94-6209-404-8_12
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