Qualitative reasoning about physical systems: an artificial intelligence perspective

Share/Save/Bookmark

Top, J.L. and Akkermans, J.M. and Breedveld, P.C. (1991) Qualitative reasoning about physical systems: an artificial intelligence perspective. Journal of the Franklin Institute, 328 (5-6). pp. 1047-1065. ISSN 0016-0032

[img]
Preview
PDF
1410Kb
Abstract:Some interdisciplinary issues concerning artificial intelligence (AI) are explored in relation to modelling in physics and engineering. A short survey is given of automated qualitative reasoning about physical systems, which in recent years has become an active research area in AI, and has been partly influenced by system dynamics. The conceptual aspects of the AI approach to physical science are critically assessed, and the mutual relevance of the two disciplines is pointed out. In particular, we indicate how bond graphs can be interpreted as an AI knowledge representation language. On this basis, a knowledge-based approach, called qualitative bond analysis (QuBA), is discussed that exploits bond graphs such that a computational AI system is able to deduce qualitative information about physical systems.
Item Type:Article
Copyright:© 1991 Elsevier
Faculty:
Electrical Engineering, Mathematics and Computer Science (EEMCS)
Research Group:
Link to this item:http://purl.utwente.nl/publications/72926
Official URL:http://dx.doi.org/10.1016/0016-0032(91)90068-E
Export this item as:BibTeX
EndNote
HTML Citation
Reference Manager

 

Repository Staff Only: item control page

Metis ID: 112500