Knowledge representation of rules: a note

Daniel O'Leary

Intelligent Systems in Accounting, Finance and Management, 2007, vol. 15, issue 1‐2, 73-84

Abstract: This paper examines knowledge acquisition and representation of ‘if–then’ rules and the linkage between the two. It provides an empirical analysis of the relationship between using different knowledge representations that are logically equivalent. A priori, logically equivalent forms would be expected to result in gathering the same knowledge. However, this paper does not substantiate that conclusion. Instead, different logically equivalent representations used for knowledge elicitation can result in different orderings of the probability of events. As a result, elicitation and representation must be tightly linked. In addition, this paper finds that groups of non‐professionals can generate better orderings than individual professionals and non‐professionals. Copyright © 2007 John Wiley & Sons, Ltd.

Date: 2007
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