Rapid prototyping of executable problem solving methods using MODEL-ECS

Gavin Lawson, Dickson Lukose

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review


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.

Original languageEnglish
Title of host publicationAdvanced Topics in Artificial Intelligence - 10th Australian Joint Conference on Artificial Intelligence, AI 1997, Proceedings
EditorsAbdul Sattar
Number of pages10
ISBN (Print)3540637974, 9783540637974
Publication statusPublished - 1997
Externally publishedYes
EventAustralasian Joint Conference on Artificial Intelligence 1997 - Perth, Australia
Duration: 30 Nov 19974 Dec 1997
Conference number: 10th
https://link.springer.com/book/10.1007/3-540-63797-4 (Proceedings)

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


ConferenceAustralasian Joint Conference on Artificial Intelligence 1997
Abbreviated titleAI 1997
Internet address

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