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The roles of artificial intelligence in information systems

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Methodologies for Intelligent Systems (ISMIS 1991)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 542))

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Abstract

By determining classes of information processing tasks which are suitable for artificial intelligence approaches we outline an architectural structure for large systems. In that structure processing modules become specialized. We argue that artificial intelligence programs should remain simple and constrained to a single ontology. Tasks are typed as focusing, pruning, fusion, and reduction. There are also control tasks associated with effective resource management. Their results are then composable by higher level applications, which have to solve problems involving multiple subtasks.

The artificial intelligence modules will need a machine-friendly interface to support those applications. This interface must provide good communication, while encapsulating the artificial intelligence tasks, so that the complexity of the composed system is not much greater than that of the individual subtasks.

The corresponding architecture is a generalization of a server-client model. The partitioning enhances maintainability, but questions of effectiveness and efficiency do arise.

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Authors and Affiliations

  1. Stanford University, USA

    Gio Wiederhold

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  1. Gio Wiederhold
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Z. W. Ras M. Zemankova

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© 1991 Springer-Verlag Berlin Heidelberg

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Wiederhold, G. (1991). The roles of artificial intelligence in information systems. In: Ras, Z.W., Zemankova, M. (eds) Methodologies for Intelligent Systems. ISMIS 1991. Lecture Notes in Computer Science, vol 542. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-54563-8_68

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  • DOI: https://doi.org/10.1007/3-540-54563-8_68

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  • Online ISBN: 978-3-540-38466-3

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