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Qualitative process theory (1982)
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| Venue: | MIT AI Lab Memo |
| Citations: | 899 - 92 self |
BibTeX
@ARTICLE{Forbus82qualitativeprocess,
author = {Kenneth D. Forbus},
title = {Qualitative process theory},
journal = {MIT AI Lab Memo},
year = {1982}
}
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Abstract
Objects move, collide, flow, bend, heat up, cool down, stretch, compress. and boil. These and other things that cause changes in objects over time are intuitively characterized as processes. To understand commonsense physical reasoning and make programs that interact with the physical world as well as people do we must understand qualitative reasoning about processes, when they will occur, their effects, and when they will stop. Qualitative process theory defines a simple notion of physical process that appears useful as a language in which to write dynamical theories. Reasoning about processes also motivates a new qualitative representation for quantity in terms of inequalities, called the quantity space. This paper describes the basic concepts of qualitative process theory, several different kinds of reasoning that can be performed with them, and discusses its implications for causal reasoning. Several extended examples illustrate the utility of the theory, including figuring out that a boiler can blow up, that an oscillator with friction will eventually stop, and how to say that you can pull with a string, but not push with it. 1
