Evolutionary Induction of Grammar Systems for Multi-agent Cooperation

Created by W.Langdon from gp-bibliography.bib Revision:1.7810

@InProceedings{johnson:2004:eurogp,

• author = "Clayton M. Johnson and James Farrell",
• title = "Evolutionary Induction of Grammar Systems for Multi-agent Cooperation",
• booktitle = "Genetic Programming 7th European Conference, EuroGP 2004, Proceedings",
• year = "2004",
• editor = "Maarten Keijzer and Una-May O'Reilly and Simon M. Lucas and Ernesto Costa and Terence Soule",
• volume = "3003",
• series = "LNCS",
• pages = "101--112",
• address = "Coimbra, Portugal",
• publisher_address = "Berlin",
• month = "5-7 " # apr,
• organisation = "EvoNet",
• publisher = "Springer-Verlag",
• keywords = "genetic algorithms, genetic programming",
• ISBN = "3-540-21346-5",
• DOI = "doi:10.1007/978-3-540-24650-3_10",
• abstract = "We propose and describe a minimal cooperative problem that captures essential features of cooperative behaviour and permits detailed study of the mechanisms involved. We characterise this problem as one of language generation by cooperating grammars, and present initial results for language induction by pairs of right-linear grammars using grammatically based genetic programming. Populations of cooperating grammar systems were found to induce grammars for regular languages more rapidly than non-cooperating controls. Cooperation also resulted in greater absolute accuracy in the steady state, even though the control performance exceeded that of prior results for the induction of regular languages by a genetic algorithm.",
• notes = "Part of \cite{keijzer:2004:GP} EuroGP'2004 held in conjunction with EvoCOP2004 and EvoWorkshops2004",

}

Genetic Programming entries for Clayton M Johnson James Farrell

Citations