Artificial intelligence makes computers lazy

Simon Kent and Nayna Patel

International Journal of Industrial and Systems Engineering, 2006, vol. 1, issue 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.

Keywords: genetic programming; genetic algorithms; artificial intelligence; classification; medical diagnosis; path planning. (search for similar items in EconPapers)
Date: 2006
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