Abstract
In this paper we outline a specific and practical agenda to move computer simulation from the margin into the mainstream of social science research.
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References
Bruderer E., Singh, J. V. (1996). Organizational evolution, learning, and selection: A genetic-algorithm-based model. Academy of Management Journal, 39(5), 1322–1349.
Campbell, D. T., and Fiske, D. (1959). Convergent and discriminant validation by the multitrait-multimethod matrix. Psychological Bulletin, 56, 81–105.
Cohen, M. D., March, J. G. and Olsen, J. P. (1972). A garbage can model of organizational choice. Administrative Science Quarterly, 17, 1–25.
Cyert, R. M., March J. G. (1963). A Behavioral Theory of the Firm. Englewood Cliffs, NJ: Prentice-Hall.
Hinton, G. E. and Nolan, S. J. (1987). How learning can guide evolution. Com plex Systems, 1, 495–502.
Kauffman, S. A. and Levin, S. (1987). Towards a general theory of adaptive walks on rugged landscapes. Journal of Theoretical Biology, 128, 11–45.
Nelson, R. R. and Winter, S. G. (1982). An evolutionary theory of economic change. Cambridge, MA: Harvard University Press.
Simon, H. A. (1981). The Sciences of the Artificial ( second edition ). Cambridge, MA: MIT Press.
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© 1997 Springer-Verlag Berlin Heidelberg
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Bruderer, E., Maiers, M. (1997). From the Margin to the Mainstream: An Agenda for Computer Simulations in the Social Sciences. In: Conte, R., Hegselmann, R., Terna, P. (eds) Simulating Social Phenomena. Lecture Notes in Economics and Mathematical Systems, vol 456. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-03366-1_6
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DOI: https://doi.org/10.1007/978-3-662-03366-1_6
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-63329-7
Online ISBN: 978-3-662-03366-1
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