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Case‐based Reasoning and Multiple‐agent Systems for Accounting Regulation Systems with Extensions

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  • Daniel E. O'Leary

Abstract

One of the areas of judgment research in accounting and financial applications is that of accounting regulation. Previously, artificial intelligence efforts at modeling human judgment in accounting regulation systems have concentrated on rule‐based expert systems. In those systems, general heuristic knowledge was captured using ‘if … then …’ rules in order to model particular decision processes. Recent developments in artificial intelligence have focused on case‐based reasoning (CBR) and multiple‐agent intelligent systems (MAIS). The ideas behind CBR are that ‘if it worked once then remember to use it again’ and ‘if it did not work before, then remember to not use it again‘. MAIS assumes that many organizational systems can be treated as computational models of multiple‐interacting intelligent agents. Typically, solutions may be derived using some form of negotiations between agents to accomplish single global or separate individual interacting goals. This paper argues that many accounting regulation judgment processes can be modeled using CBR and MAIS. As a result, it summarizes some examples of both CBR and MAIS useful in accounting regulation and extends those to other accounting applications. In addition, it describes the results of some previously developed systems that employ CBR or MAIS.

Suggested Citation

  • Daniel E. O'Leary, 1992. "Case‐based Reasoning and Multiple‐agent Systems for Accounting Regulation Systems with Extensions," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 1(1), pages 41-52, January.
    • Handle: RePEc:wly:isacfm:v:1:y:1992:i:1:p:41-52
    DOI: 10.1002/j.1099-1174.1992.tb00006.x
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    1. Thomas W. Malone, 1987. "Modeling Coordination in Organizations and Markets," Management Science, INFORMS, vol. 33(10), pages 1317-1332, October.
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