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DC Field | Value | Language |
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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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Fulltext.pdf | 506.98 kB | Adobe PDF | View/Open |
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