{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,6]],"date-time":"2026-03-06T12:29:29Z","timestamp":1772800169388,"version":"3.50.1"},"reference-count":54,"publisher":"Maximum Academic Press","issue":"1","license":[{"start":{"date-parts":[[2009,7,7]],"date-time":"2009-07-07T00:00:00Z","timestamp":1246924800000},"content-version":"unspecified","delay-in-days":4876,"URL":"https:\/\/www.cambridge.org\/core\/terms"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["The Knowledge Engineering Review"],"published-print":{"date-parts":[[1996,3]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>In qualitative reasoning research, much effort has been spent on developing representation and reasoning formalisms. Only recently, the process of constructing models in terms of these formalisms has been recognised as an important research topic of its own. Approaches addressing this topic are examined in this review. For this purpose a general model of the task of constructing qualitative models is developed that serves as a frame of reference in considering these approaches. Two categories of approaches are identified: model composition and model induction approaches. The former compose a model from predefined partial models and the latter infer a model from behavioural data. Similarities and differences between the approaches are discussed using the general task model as a reference. It appears that the majority of approaches focus on automating model construction entirely. Assessing and debugging a model in cooperation with a modeller is identified as an important topic for future research<\/jats:p>","DOI":"10.1017\/s0269888900007657","type":"journal-article","created":{"date-parts":[[2009,7,7]],"date-time":"2009-07-07T09:34:14Z","timestamp":1246959254000},"page":"1-25","source":"Crossref","is-referenced-by-count":21,"title":["An overview of approaches to qualitative model construction"],"prefix":"10.48130","volume":"11","author":[{"given":"Cis","family":"Schut","sequence":"first","affiliation":[]},{"given":"Bert","family":"Bredeweg","sequence":"additional","affiliation":[]}],"member":"27968","published-online":{"date-parts":[[2009,7,7]]},"reference":[{"key":"S0269888900007657_ref044","first-page":"75","volume-title":"Artificial intelligence, Simulation, and Modeling","author":"Rothcnbcrg","year":"1989"},{"key":"S0269888900007657_ref043","unstructured":"Rickel J and Porter B , 1994, \u201cAutomated modeling for answering prediction questions: Selecting the time scale and system boundary\u201d In: Proc. of AAAI-94 1191\u20131198, 07."},{"key":"S0269888900007657_ref041","first-page":"723","volume-title":"Proceedings of the Tenth National Conference on Artificial Intelligence AAAI-'92","author":"Richards","year":"1992"},{"key":"S0269888900007657_ref040","volume-title":"Analysis and Design of Engineering Systems","author":"Paynter","year":"1961"},{"key":"S0269888900007657_ref036","volume-title":"Proceedings of the First Conference on Algorithmic Learning Theory","author":"Muggleton","year":"1990"},{"key":"S0269888900007657_ref039","doi-asserted-by":"publisher","DOI":"10.1007\/BF00993059"},{"key":"S0269888900007657_ref029","volume-title":"Qualitative Reasoning, Modelling and Simulation with incomplete Knowledge","author":"Kuipers","year":"1994"},{"key":"S0269888900007657_ref035","first-page":"259","volume-title":"Machine intelligence 12","author":"Mozeti\u010d","year":"1990"},{"key":"S0269888900007657_ref034","doi-asserted-by":"publisher","DOI":"10.1016\/B978-0-934613-41-5.50028-3"},{"key":"S0269888900007657_ref031","first-page":"7","volume-title":"Proceedings of the Sixth international Workshop on Qualitative Reasoning about Physical Systems","author":"Levy","year":"1992"},{"key":"S0269888900007657_ref038","first-page":"710","volume-title":"Proceedings of the Tenth National Conference on Artificial Intelligence AAAI-'92","author":"Nayak","year":"1992"},{"key":"S0269888900007657_ref030","first-page":"425","volume-title":"Machine Learning: An Artificial intelligence Approach, volume 2","author":"Langley","year":"1986"},{"key":"S0269888900007657_ref045","first-page":"194","volume-title":"Proceedings of the 7th international Workshop on Qualitative Reasoning","author":"Schut","year":"1993"},{"key":"S0269888900007657_ref037","first-page":"703","volume-title":"Proceedings of the Tenth National Conference on Artificial Intelligence AAAI-'92","author":"Nayak","year":"1992"},{"key":"S0269888900007657_ref049","unstructured":"Top J , 1993, \u201cConceptual Modelling of Physical Systems\u201d PhD thesis, Twente University, 09."},{"key":"S0269888900007657_ref028","doi-asserted-by":"publisher","DOI":"10.1016\/0004-3702(86)90073-1"},{"key":"S0269888900007657_ref042","first-page":"82","volume-title":"Proceedings of the Sixth International Workshop on Qualitative Reasoning about Physical Systems","author":"Rickel","year":"1992"},{"key":"S0269888900007657_ref026","first-page":"108","volume-title":"Proceedings of the Seventh International Workshop on Qualitative Reasoning about Physical Systems","author":"Iwasaki","year":"1993"},{"key":"S0269888900007657_ref025","first-page":"323","volume-title":"The Handbook of Artificial Intelligence vol. 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