Interpreting measurements of physical systems

Kenneth D. Forbus*

*Corresponding author for this work

Research output: Contribution to conferencePaperpeer-review

26 Scopus citations


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 languageEnglish (US)
Number of pages5
StatePublished - 1986
Event5th National Conference on Artificial Intelligence, AAAI 1986 - Philadelphia, United States
Duration: Aug 11 1986Aug 15 1986


Conference5th National Conference on Artificial Intelligence, AAAI 1986
Country/TerritoryUnited States

ASJC Scopus subject areas

  • Software
  • Artificial Intelligence


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