Abstract
An unsolved problem in qualitative physics is generating a qualitative understanding of how a physical system is behaving from raw data, especially numerical data taken across time, to reveal changing internal state. Yet providing this ability to "read gauges" is a critical step towards building the next generation of intelligent computer-aided engineering systems and allowing robots to work in unconstrained envirionments. This paper presents a theory to solve this problem. Importantly, the theory is domain independent and will work with any system of qualitative physics. It requires only a qualitative description of the domain capable of supporting envisioning and domain-specific techniques for providing an initial qualitative description of numerical measurements. The theory has been fully implemented, and an extended example using Qualitative Process theory is presented.
Original language | English (US) |
---|---|
Pages | 113-117 |
Number of pages | 5 |
State | Published - 1986 |
Event | 5th National Conference on Artificial Intelligence, AAAI 1986 - Philadelphia, United States Duration: Aug 11 1986 → Aug 15 1986 |
Conference
Conference | 5th National Conference on Artificial Intelligence, AAAI 1986 |
---|---|
Country/Territory | United States |
City | Philadelphia |
Period | 8/11/86 → 8/15/86 |
ASJC Scopus subject areas
- Software
- Artificial Intelligence