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

J. Liem; H. Buisman; B. Bredeweg

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

J. Liem
, H. Buisman
, B. Bredeweg

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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Abstract

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 language	English
Title of host publication	22nd International Workshop on Qualitative Reasoning
Editors	E. Bradley, L. Travé-Massuyès
Publisher	University of Colorado
Pages	83-87
Publication status	Published - 2008

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@inproceedings{83164293c36f4b71b8872cedc2fe88ea,

title = "Supporting conceptual knowledge capture through automatic modelling: A preliminary progress report",

abstract = "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 {\v S}uc 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.",

author = "J. Liem and H. Buisman and B. Bredeweg",

note = "null ; Conference date: 24-06-2008 Through 26-06-2008",

year = "2008",

language = "English",

pages = "83--87",

editor = "E. Bradley and L. Trav{\'e}-Massuy{\`e}s",

booktitle = "22nd International Workshop on Qualitative Reasoning",

publisher = "University of Colorado",

}

Supporting conceptual knowledge capture through automatic modelling: A preliminary progress report. / Liem, J.; Buisman, H.; Bredeweg, B.
22nd International Workshop on Qualitative Reasoning. ed. / E. Bradley; L. Travé-Massuyès. University of Colorado, 2008. p. 83-87.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Supporting conceptual knowledge capture through automatic modelling: A preliminary progress report

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AU - Buisman, H.

AU - Bredeweg, B.

N1 - null ; Conference date: 24-06-2008 Through 26-06-2008

PY - 2008

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N2 - 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.

AB - 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.

M3 - Conference contribution

SP - 83

EP - 87

BT - 22nd International Workshop on Qualitative Reasoning

A2 - Bradley, E.

A2 - Travé-Massuyès, L.

PB - University of Colorado

ER -

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

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