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AAAI 1999

Querying Temporal Constraint Networks in PTIME

Conference Paper Tractable Reasoning Artificial Intelligence

Abstract

Westart with the assumption that temporal knowledgeusually captured by constraint networks can be represented and queried more effectively by using the schemeof indefinite constraint databases proposed by Koubarakis. Althoughquery evaluation in this scheme is in general a hard computational problem, we demonstrate that there are several interesting cases where query evaluation can be done in PTIME. Thesetractability results are original and subsumeprevious results by van Beck, Brusoni, Console andTerenziani.

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Context

Venue
AAAI Conference on Artificial Intelligence
Archive span
1980-2026
Indexed papers
28718
Paper id
30817807641035962