A Quantitative Analysis of Pattern Production and Its Relationship to Expert Performance
Document Type
Article
Publication Date
1997
Keywords
concept chunk learning, chess, expertise, pattern acquisition
Digital Object Identifier (DOI)
https://doi.org/10.1080/095281397147257
Abstract
The modelling and measurement of expertise is a relatively new research area in artificial intelligence and cognitive science. Many domains do not have a formal method for evaluating expertise. When formal methods exist, they are frequently inefficient. Using an extension to the IAM program, a pattern recognition and acquisition method for evaluating the level of expertise for the domain of chess is developed. Chess players, as well as experts in other domains, use cognitive chunks of perceptual patterns to gain a cognitive economy that enables them to evaluate complex domain situations faster and more accurately than novices. The IAM program acquires a representative collection of the perceptual patterns demonstrated by a domain expert and uses those patterns to analyse skill level. A longitudinal study of a developing player and a comparison of the developing player to an established expert demonstrates the utility of the developed method for evaluating expertise.
Was this content written or created while at USF?
No
Citation / Publisher Attribution
Journal of Experimental & Theoretical Artificial Intelligence, v. 9, issue 1, p. 83-101
Scholar Commons Citation
Walczak, Steven and Fishwick, Paul, "A Quantitative Analysis of Pattern Production and Its Relationship to Expert Performance" (1997). School of Information Faculty Publications. 216.
https://digitalcommons.usf.edu/si_facpub/216
