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Rapid prototyping of executable problem solving methods using MODEL-ECS

  • Knowledge-Based Systems
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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1342))

Abstract

This paper demonstrates the capability of MODEL-ECS to support domain users in rapid prototyping of executable problem solving methods (PSMs) (i.e., known as inference structures in the KADS models of expertise). MODEL-ECS is a graphically based conceptual modeling language that is made up of Conceptual Graphs [14] and Actors [6]. In addition to being highly formal and considerably sophisticated, the PSMs resulting from modeling using MODEL-ECS is executable (i.e., executable prototypes). This enables the knowledge engineer to immediately test, and if necessary re-design his knowledge model. This is a major advantage to the contemporary approach of performing the modeling process, and then carrying out the prototyping activity (where one builds a prototype knowledge based system). This paper attempts to demonstrate the capabilities of MODEL-ECS by modeling a simple PSM for Audio System Diagnosis.

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Abdul Sattar

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© 1997 Springer-Verlag Berlin Heidelberg

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Lawson, G., Lukose, D. (1997). Rapid prototyping of executable problem solving methods using MODEL-ECS. In: Sattar, A. (eds) Advanced Topics in Artificial Intelligence. AI 1997. Lecture Notes in Computer Science, vol 1342. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-63797-4_71

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  • DOI: https://doi.org/10.1007/3-540-63797-4_71

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-63797-4

  • Online ISBN: 978-3-540-69649-0

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