Supporting conceptual knowledge capture through automatic modelling: A preliminary progress report

J. Liem, H. Buisman, B. Bredeweg

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


Building qualitative models is still a difficult and lengthy endeavour for domain experts. This paper discusses progress towards an automated modelling algorithm that learns Garp3 models based on a full qualitative description of the system's behaviour. In contrast with other approaches (Bridewell et al. 2008; Bratko and Šuc 2004), our algorithm attempts to learn the causality that explains the system's behaviour. The algorithm achieves good results when recreating four well-established models.
Original languageUndefined/Unknown
Title of host publication22nd International Workshop on Qualitative Reasoning
EditorsE. Bradley, L. Travé-Massuyès
PublisherUniversity of Colorado
Number of pages5
Publication statusPublished - 2008
Externally publishedYes

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