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Integration of Intelligent Systems and Conventional Systems: Requirements for Co‐ordinating Multiple Agents for Diagnostic Decisions

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  • Daniel E. O'Leary
  • Paul R. Watkins

Abstract

This paper describes the development of an integrated intelligent (expert) system and conventional information system to support decision making of a diagnostic decision in a multi‐agent environment. It argues that many a priori requirements for the information system can be elicited by accounting for the specific nature of the diagnostic decision and for the single/multiple‐actor environment. This finding is generalized to a framework that indicates that a priori requirements take into account the basic theories on which the information system supporting the decision task is ultimately based. In particular, attention is focused on the nature of the task (e.g. diagnostic), whether the application is for a single‐ or multiple‐agent situation and the nature of the multi‐agent structure (e.g. product or functional form of organization).

Suggested Citation

  • Daniel E. O'Leary & Paul R. Watkins, 1992. "Integration of Intelligent Systems and Conventional Systems: Requirements for Co‐ordinating Multiple Agents for Diagnostic Decisions," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 1(2), pages 135-145, May.
  • Handle: RePEc:wly:isacfm:v:1:y:1992:i:2:p:135-145
    DOI: 10.1002/j.1099-1174.1992.tb00014.x
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    References listed on IDEAS

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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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    Cited by:

    1. Sutton, Steve G. & Holt, Matthew & Arnold, Vicky, 2016. "“The reports of my death are greatly exaggerated”—Artificial intelligence research in accounting," International Journal of Accounting Information Systems, Elsevier, vol. 22(C), pages 60-73.

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