ECAI 2004 Conference Paper

Representing Knowledge about Norms to Reason on Texts

Daniel Kayser, Farid Nouioua

Inferences based on norms are far richer than those based on logical implications. To take advantage of this potential, the norms of a domain must be made explicit. In this paper, we propose a language to represent the norms of a limited domain, and we use it to reason on the causes of accidents described by car-crash reports. Knowing the norms enables to define what is abnormal; we distinguish basic and derived anomalies; the criterion of success is whether the basic anomaly found by our system coincides with the cause of the accident pointed out by a human reader.

Keywords: Common-Sense Reasoning, Reasoning about Actions and Change, Natural Language Semantics, Causal Reasoning, Knowledge Representation

Citation: Daniel Kayser, Farid Nouioua: Representing Knowledge about Norms to Reason on Texts. In R.López de Mántaras and L.Saitta (eds.): ECAI2004, Proceedings of the 16th European Conference on Artificial Intelligence, IOS Press, Amsterdam, 2004, pp.363-367.

ECAI-2004 is organised by the European Coordinating Committee for Artificial Intelligence (ECCAI) and hosted by the Universitat Politècnica de València on behalf of Asociación Española de Inteligencia Artificial (AEPIA) and Associació Catalana d'Intel-ligència Artificial (ACIA).