Representing Knowledge about Norms

Details Representing Knowledge about Norms Representing Knowledge about Norms

2006-07-18

arxiv.org/abs/cs/0607086v1

The 16th European Conference on Artificial Intelligence (ECAI'04) (2004) 363-367

Computer Science

Artificial Intelligence

Scientific paper

Norms are essential to extend inference: inferences based on norms are far richer than those based on logical implications. In the recent decades, much effort has been devoted to reason on a domain, once its norms are represented. How to extract and express those norms has received far less attention. Extraction is difficult: as the readers are supposed to know them, the norms of a domain are seldom made explicit. For one thing, extracting norms requires a language to represent them, and this is the topic of this paper. We apply this language to represent norms in the domain of driving, and show that it is adequate to reason on the causes of accidents, as described by car-crash reports.

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