Please use this identifier to cite or link to this item:
http://bura.brunel.ac.uk/handle/2438/4167
Title: | Artificial intelligence makes computers lazy |
Authors: | Kent, S Patel, N |
Keywords: | Genetic programming;Genetic algorithms;Artificial intelligence;Classification;Medical diagnosis;Path planning |
Issue Date: | 2006 |
Publisher: | Inderscience |
Citation: | International Journal of Industrial and Systems Engineering. 1(4): 519-532 |
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. |
URI: | http://bura.brunel.ac.uk/handle/2438/4167 |
DOI: | http://dx.doi.org/10.1504/IJISE.2006.010390 |
ISSN: | 1748-5037 |
Appears in Collections: | Computer Science Dept of Computer Science Research Papers |
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