Predicting the behavior of a qualitatively described system of solid objects requires a combination of geometrical, temporal, and physical reasoning. Methods Based upon formulating and solving differential equations are not adequate for robust prediction, since the behavior of a system over extended time may be much simpler than its behavior over local time. This paper discusses a first-order logic, in which one can state simple physical problems and derive their solution deductively, without recourse to solving the differential equations. This logic is substantially more expressive and powerful than any previous AI representational system in this domain.
|Original language||English (US)|
|Title of host publication||Readings in Qualitative Reasoning About Physical Systems|
|Number of pages||7|
|ISBN (Print)||1558600957, 9781483214474|
|State||Published - Sep 17 2013|
ASJC Scopus subject areas
- Computer Science(all)