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The DIME System: A Preliminary Report

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  • Ganesh Mani

Abstract

Investment management is a complex, yet promising, domain for the application of intelligent automation. In this paper we discuss the Diversified Investment Management Expert (DIME) system which is under development. DIME is designed to operate in a dynamic environment and hence one of its salient features is its knowledge acquisition via learning. The system starts out with some rules built into it, and machine‐learning techniques are used to acquire further knowledge with time. In this paper we focus on how similarity‐based learning (SBL) is used to acquire new rules and explanation‐based learning (EBL) to refine the built‐in rules and the newly acquired ones.

Suggested Citation

  • Ganesh Mani, 1992. "The DIME System: A Preliminary Report," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 1(1), pages 29-39, January.
    • Handle: RePEc:wly:isacfm:v:1:y:1992:i:1:p:29-39
    DOI: 10.1002/j.1099-1174.1992.tb00005.x
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    References listed on IDEAS

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    1. Pettit, R Richardson, 1972. "Dividend Announcements, Security Performance, and Capital Market Efficiency," Journal of Finance, American Finance Association, vol. 27(5), pages 993-1007, December.
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    5. Kaplan, Robert S & Roll, Richard, 1972. "Investor Evaluation of Accounting Information: Some Empirical Evidence," The Journal of Business, University of Chicago Press, vol. 45(2), pages 225-257, April.
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