Genetic programming in the overlapping generations model: An illustration with the dynamics of the inflation rate

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{chen:1998:GPogmidir,

• author = "Shu-Heng Chen and Chia-Hsuan Yeh",
• title = "Genetic programming in the overlapping generations model: An illustration with the dynamics of the inflation rate",
• booktitle = "Evolutionary Programming VII: Proceedings of the Seventh Annual Conference on Evolutionary Programming",
• year = "1998",
• editor = "V. William Porto and N. Saravanan and D. Waagen and A. E. Eiben",
• volume = "1447",
• series = "LNCS",
• pages = "829--837",
• address = "Mission Valley Marriott, San Diego, California, USA",
• publisher_address = "Berlin",
• month = "25-27 " # mar,
• publisher = "Springer-Verlag",
• keywords = "genetic algorithms, genetic programming",
• ISBN = "3-540-64891-7",
• URL = "http://link.springer.com/chapter/10.1007/BFb0040833",
• DOI = "doi:10.1007/BFb0040833",
• abstract = "In this paper, genetic programming (GP) is employed to model learning and adaptation in the overlapping generations model, one of the most popular dynamic economic models. Using a model of inflation with multiple equilibria as an illustrative example, we show that our GP-based agents are able to coordinate their actions to achieve the Pareto-superior equilibrium (the low-inflation steady state) rather than the Pareto-inferior equilibrium (the high-inflation steady state). We also test the robustness of this result with different initial conditions, economic parameters, and GP control parameters.",
• notes = "EP-98. National Chengchi University",

}

Genetic Programming entries for Shu-Heng Chen Chia Hsuan Yeh

Citations