Abstract
This paper approaches the analysis of a repeated Principal-Agent model introducing automata as a device for decision making. We use “modified” Genetic Algorithms methods to analyze the process of evolution in such a model. It is argued that the above modifications furnish the analysis with an interpretation that is more suitable to the study of social systems.
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© 1997 Springer-Verlag Berlin Heidelberg
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Vilà, X. (1997). Adaptive Artificial Agents Play a Finitely Repeated Discrete Principal-Agent Game. 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_35
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DOI: https://doi.org/10.1007/978-3-662-03366-1_35
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-63329-7
Online ISBN: 978-3-662-03366-1
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