Challenges in Open-Ended Problem Solving with Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.8178

@InCollection{daida:2005:GPTP,

• author = "Jason Daida",
• title = "Challenges in Open-Ended Problem Solving with Genetic Programming",
• booktitle = "Genetic Programming Theory and Practice {III}",
• year = "2005",
• editor = "Tina Yu and Rick L. Riolo and Bill Worzel",
• volume = "9",
• series = "Genetic Programming",
• chapter = "17",
• pages = "259--274",
• address = "Ann Arbor",
• month = "12-14 " # may,
• publisher = "Springer",
• keywords = "genetic algorithms, genetic programming, open-ended problem solving, McMaster Problem Solving",
• ISBN = "0-387-28110-X",
• DOI = "doi:10.1007/0-387-28111-8_17",
• size = "16 pages",
• abstract = "how GP might be integrated as a tool into the human context of discovery. To accomplish this, a comparison is made between GP and a well-regarded strategy in open-ended problem solving. The comparison not only indicates which tasks and skills are likely to be complemented by GP, but also the kinds of problems that may or may not be suited for it. Furthermore, the comparison indicates directions in research that may need to be taken for GP to be further leveraged as a tool that assists discovery.",
• notes = "part of \cite{yu:2005:GPTP} Published Jan 2006 after the workshop",

}

Genetic Programming entries for Jason M Daida

Citations