Artificial intelligence makes computers lazy

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DC Field	Value	Language
dc.contributor.author	Kent, S	-
dc.contributor.author	Patel, N	-
dc.date.accessioned	2010-03-12T09:16:20Z	-
dc.date.available	2010-03-12T09:16:20Z	-
dc.date.issued	2006	-
dc.identifier.citation	International Journal of Industrial and Systems Engineering. 1(4): 519-532	en
dc.identifier.issn	1748-5037	-
dc.identifier.uri	http://bura.brunel.ac.uk/handle/2438/4167	-
dc.description.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.	en
dc.language.iso	en	en
dc.publisher	Inderscience	en
dc.subject	Genetic programming	en
dc.subject	Genetic algorithms	en
dc.subject	Artificial intelligence	en
dc.subject	Classification	en
dc.subject	Medical diagnosis	en
dc.subject	Path planning	en
dc.title	Artificial intelligence makes computers lazy	en
dc.type	Research Paper	en
dc.identifier.doi	http://dx.doi.org/10.1504/IJISE.2006.010390	-
Appears in Collections:	Computer Science Dept of Computer Science Research Papers

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