Artificial intelligence makes computers lazy

Created by W.Langdon from gp-bibliography.bib Revision:1.7630

@Article{oai:inderscience.com:10390,

• title = "Artificial intelligence makes computers lazy",
• author = "Simon Kent and Nayna Patel",
• journal = "International Journal of Industrial and Systems Engineering",
• year = "2006",
• month = jul # "~18",
• volume = "1",
• issue = "4",
• pages = "519--532",
• publisher = "Inderscience Publishers",
• relation = "ISSN online: 1748-5045 ISSN print: 1748-5037 DOI: 10.1504/06.10390",
• rights = "Inderscience Copyright",
• source = "IJISE (2006), Vol 1 Issue 4, pp 519 - 532",
• language = "eng",
• oai = "oai:inderscience.com:10390",
• annote = "Int. J. of Industrial and Systems Engineering",
• bibsource = "OAI-PMH server at www.inderscience.com",
• keywords = "genetic algorithms, genetic programming, artificial intelligence, classification, medical diagnosis, path planning",
• ISSN = "1748-5045",
• URL = "http://www.inderscience.com/link.php?id=10390",
• DOI = "doi:10.1504/IJISE.2006.010390",
• abstract = "This paper looks at the age-old problem of trying to instil some degree of intelligence in computers. Genetic Algorithms (GA) and Genetic Programming (GP) are techniques that are used to evolve a solution to a problem using processes that mimic natural evolution. This paper reflects on the experience gained while conducting research applying GA and GP to two quite different problems: Medical Diagnosis and Robot Path Planning. An observation is made that when these algorithms are not applied correctly the computer seemingly exhibits lazy behaviour, arriving at a suboptimal solutions. Using examples, this paper shows how this 'lazy' behaviour can be overcome.",

}

Genetic Programming entries for Simon Kent Nayna Patel

Citations