| dc.contributor.author | Chien, Michael | |
| dc.contributor.author | Roddis, W. M. Kim | |
| dc.date.accessioned | 2016-02-29T20:20:34Z | |
| dc.date.available | 2016-02-29T20:20:34Z | |
| dc.date.issued | 1991-05 | |
| dc.identifier.citation | Chien, M., and Roddis, W.M.K., "Comparison of QPE and QSIM as Qualitative Reasoning Techniques," SM Report No. 27, Research Grant #IRI-8909196, The National Science Foundation, May 1991, 156 pp. | en_US |
| dc.identifier.uri | http://hdl.handle.net/1808/20410 | |
| dc.description.abstract | Qualitative reasoning predicts and explains the behavior of physical systems using the system's structure through modeling and simulation. There are several approaches to qualitative reasoning. Two of the most prominent software implementations are QPE (Qualitative Process Engine) by Forbus and QSIM (Qualitative Simulation) by Kuipers. A comparison of the two systems is done on the basis of representation and reasoning ability of physical systems. The standard examples in qualitative reasoning and examples in fatigue and fracture in metals are used in the comparison. The fatigue and fracture domain of study can serve as a prototype for other related models of material behavior. A thorough comparison of QSIM and QPE identifies future directions of qualitative reasoning development. | en_US |
| dc.publisher | University of Kansas Center for Research, Inc. | en_US |
| dc.relation.ispartofseries | SM Report;27 | |
| dc.relation.isversionof | https://iri.ku.edu/reports | en_US |
| dc.title | Comparison of QPE and QSIM as Qualitative Reasoning Techniques | en_US |
| dc.type | Technical Report | |
| kusw.oapolicy | This item does not meet KU Open Access policy criteria. | |
| dc.rights.accessrights | openAccess | |
