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- W2323994567 abstract "In the recent decade, the field of management information systems has made great progress in helping firms integrate their data and information resources. The next step is to integrate the knowledge resources of the firm which will require the development of powerful knowledge-based systems.Recently, a type of knowledge-based system called an example-based system has attracted much interest. The literature suggests that examples would be especially beneficial in theoretically weak domains. Taking commodities trading as a representative theoretically weak domain, this research examined the effects of example-based knowledge representation upon decision correctness and confidence in commodities trading.The methodology included two laboratory experiments using a repeated measures and a mixed model design. The experiments employed a 2 x 2 full factorial design. The independent variables were knowledge representation type (examples, rules) and prediction problem ambiguity (high,low). The two dependent variables were decision correctness and decision confidence.The experiment simulated a computer-based trading support scenario. In the treatment phase of the experiment, the subjects were exposed to knowledge in the form of examples and rules about how to make commodities price predictions. The experimental task was a set of commodities price prediction problems. Decision correctness and decision confidence, measured by the prediction problems, were used to compare the effectiveness of knowledge representation using example and rules." @default.
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- W2323994567 date "1994-12-15" @default.
- W2323994567 modified "2023-09-28" @default.
- W2323994567 title "A comparison of example-based and rule-based knowledge representation in commodities trading support systems" @default.
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