On Automated Discovery of Models Using Genetic Programming: Bargaining in a Three-Agent Coalitions Game

Created by W.Langdon from gp-bibliography.bib Revision:1.7970

@Article{Dworman:1995:JMIS,

• author = "Garett Dworman and Steven O. Kimbrough and James D. Laing",
• title = "On Automated Discovery of Models Using Genetic Programming: Bargaining in a Three-Agent Coalitions Game",
• journal = "Journal of Management Information Systems",
• year = "1995",
• volume = "12",
• number = "3",
• pages = "97--125",
• month = "Winter",
• note = "Special Issue: Information Technology and IT Organizational Impact Guest Editors: Nunamaker Jr, Jay F and Sprague Jr., Ralph H",
• keywords = "genetic algorithms, genetic programming, automatic model discovery, game theory, machine learning",
• ISSN = "0742-1222",
• URL = "http://www.jmis-web.org/articles/307",
• URL = "http://www.tandfonline.com/doi/abs/10.1080/07421222.1995.11518093",
• URL = "https://oid.wharton.upenn.edu/files/?whdmsaction=public:main.file&fileID=5434.",
• DOI = "doi:10.1080/07421222.1995.11518093",
• abstract = "The creation of mathematical, as well as qualitative (or rule-based), models is difficult, time-consuming, and expensive. Recent developments in evolutionary computation hold out the prospect that, for many problems of practical import, machine learning techniques can be used to discover useful models automatically. The prospects are particularly bright, we believe, for such automated discoveries in the context of game theory. This paper reports on a series of successful experiments in which we used a genetic programming regime to discover high-quality negotiation policies. The game-theoretic context in which we conducted these experiments--a three-player coalitions game with side payments--is considerably more complex and subtle than any reported in the previous literature on machine learning applied to game theory.",
• notes = "fileID=5434. appears to be from Jstor.org",

}

Genetic Programming entries for Garett O Dworman Steven Orla Kimbrough James D Laing

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