Arrow Research search
Back to AAAI

AAAI 1998

Temporal Reasoning with Qualitative and Quantitative Information about Points and Durations

Conference Paper Time and Representation Artificial Intelligence

Abstract

A duration is known as a time distance between twopoint events. Thisrelationship has recently been formalized as the point duration network (PDN)in (Navarrete &Marin 1997). However, onlythe qualitative informationaboutpoints and durations wasconsidered. This paper presents an augmentedpoint duration network (APDN) represent bothqualitative andquantitative information about point events. Wefurther extend APDN to capture quantitative information about durations. Weproposealgorithmsto solve reasoning tasks suchas determining satisfiability of the network, and finding a consistent scenario with minimal domains. Thus, wepresent an expressively richer framework than the existing onesto handleboth qualitative andquantitative information aboutpoints as well as durations.

Authors

Keywords

No keywords are indexed for this paper.

Context

Venue
AAAI Conference on Artificial Intelligence
Archive span
1980-2026
Indexed papers
28718
Paper id
853263371068293423
v2026.09.13