Please use this identifier to cite or link to this item: http://buratest.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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