Chapter 9 Qualitative Modeling

作者: Kenneth D. Forbus

DOI: 10.1016/S1574-6526(07)03009-X

关键词: Ecology (disciplines)Focus (linguistics)Management scienceCausalityKey (cryptography)Qualitative reasoningComputer scienceSpatial intelligenceRepresentation (mathematics)Physical system

摘要: Publisher Summary Qualitative modeling is most commonly referred to as “qualitative reasoning” (QR) in literature, and it concerns representation reasoning about the continuous aspects of entities systems a symbolic, human-like manner. physics has often been used for research this area because understanding physical central focus much work area. However, term become less popular applicability these ideas areas such finance, ecology, natural language semantics have explored. This chapter discusses some key principles qualitative modeling, describes kind that involved it. It presents mathematics, ontologies organizing knowledge, causality, compositional states simulation, spatial reasoning. also few examples applications illustrate ways which play out real examples.

参考文章(102)
Anthony G. Cohn, Derek R. Magee, Aphrodite Galata, David C. Hogg, Shyamanta M. Hazarika, Towards an architecture for cognitive vision using qualitative spatio-temporal representations and abduction international conference spatial cognition. pp. 232- 248 ,(2003) , 10.1007/3-540-45004-1_14
P. Brezillon, P. Bouquet, Lecture Notes in Artificial Intelligence ,(1999)
Emmett Tomai, Kenneth D. Forbus, Andrew Lovett, Jeffrey Usher, A Structure Mapping Model for Solving Geometric Analogy Problems Proceedings of the Annual Meeting of the Cognitive Science Society. ,vol. 27, ,(2005)