- author = "Shu-Heng Chen and John Duffy and Chia-Hsuan Yeh",
- title = "Genetic Programming in the Coordination Game with a Chaotic Best-Response Function",
- booktitle = "Evolutionary Programming V: Proceedings of the Fifth Annual Conference on Evolutionary Programming",
- year = "1996",
- editor = "Lawrence J. Fogel and Peter J. Angeline and Thomas Baeck",
- pages = "277--286",
- address = "San Diego",
- publisher_address = "Cambridge, MA, USA",
- month = feb # " 29-" # mar # " 3",
- publisher = "MIT Press",
- keywords = "genetic algorithms, genetic programming",
- ISBN = "0-262-06190-2",
-
URL = "
ftp://econo.nccu.edu.tw/AI-ECON/YEH/1996/EP96/ep96.ps",
-
URL = "
http://citeseer.ist.psu.edu/rd/6296950%2C326396%2C1%2C0.25%2CDownload/http://citeseer.ist.psu.edu/cache/papers/cs/15814/ftp:zSzzSzecono.nccu.edu.twzSzAI-ECONzSzYEHzSz1996zSzEP96zSzep96.pdf/chen96genetic.pdf",
-
URL = "
http://citeseer.ist.psu.edu/326396.html",
- size = "11 pages",
- abstract = "By modelling the coordination game as GP (Genetic Programming)-based adaptive multiagent systems, this paper analyses the coordination experiments with human subjects conducted by (Van Huyck et al. 1994). In the model on which their experiments were based, the coordination pattern in the equilibrium crucially depends on the learning schemes adopted by the interactive agents in the society. While, in general, we cannot exclude the possibility of chaotic-like coordination, such a result did not...",
-
notes = "EP-96
http://mitpress.mit.edu/catalog/item/default.asp?ttype=2&tid=8383
",
