Abstract
In our daily lives we often have to face binary decisions where we seek to take the minority’s choice, e.g., in traffic scenarios where we have to choose between similar alternative routes. In previous papers, we have dealt with an agent coordination mechanism for binary decision models introduced in the literature recently: the El Farol Bar Problem. Extending this model, we have proposed personalities which model cer- tain types of human behaviour, and we have simulated different popu- lations of these personalities. Our previous work has given insights into the impact of commuters’ behaviours and it addresses relegated issues in traditional traffic simulation. In this paper the simulation is extended to include evolutionary aspects. We evolve populations of agents with personalities in order to assess whether the personalities that did better in the original scenario (in particular the “wayward” agents) are evolu- tionarily stable. We find that personalities which are more flexible than the wayward agents do better in evolutionary terms.
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Bazzan, A.L.C., Bordini, R.H., Vicari, R.M., Wahle, J. (2000). Evolving Populations of Agents with Personalities in the Minority Game. In: Monard, M.C., Sichman, J.S. (eds) Advances in Artificial Intelligence. IBERAMIA SBIA 2000 2000. Lecture Notes in Computer Science(), vol 1952. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44399-1_18
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DOI: https://doi.org/10.1007/3-540-44399-1_18
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