- author = "Shu-Heng Chen and John Duffy and Chia-Hsuan Yeh",
- title = "Equilibrium Selection Using Genetic Programming",
- booktitle = "Progress in Neural Information Precessing: Proceedings of the International Conference on Neural Information Processing (ICONIP'96)",
- year = "1996",
- editor = "S. Amari and L. Xu and L. Chan and I. King and K. Leung",
- volume = "2",
- pages = "1341--1346",
- address = "Hong Kong Convention and Exhibition Center, Hong Kong",
- publisher_address = "Singapore",
- publisher = "Springer-Verlag",
- keywords = "genetic algorithms, genetic programming",
- ISBN = "981-3083-04-2",
-
URL = "
ftp://econo.nccu.edu.tw/AI-ECON/YEH/1996/ICONIP96/iconip96.ps",
-
URL = "
http://citeseer.ist.psu.edu/rd/6296950%2C323448%2C1%2C0.25%2CDownload/http://citeseer.ist.psu.edu/cache/papers/cs/15814/ftp:zSzzSzecono.nccu.edu.twzSzAI-ECONzSzYEHzSz1996zSzICONIP96zSziconip96.pdf/equilibrium-selection-using-genetic.pdf",
-
URL = "
http://citeseer.ist.psu.edu/323448.html",
- size = "8 pages",
- abstract = "We use genetic programming techniques developed by Koza (1992) to model the behaviour of a population of heterogeneous agents playing a simple coordination game with multiple equilibria. We compare the results from our computational experiments with results obtained from a number of controlled laboratory experiments conducted by Van Huyck et al. (1994) where human subjects played the same coordination game. We nd that the behavior exhibited by our population of artificially intelligent...",
-
notes = "
",
