Simpler and Faster Algorithm for Checking the Dynamic Consistency of Conditional Simple Temporal Networks

Luke Hunsberger, Roberto Posenato

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence

Main track. Pages 1324-1330.

https://doi.org/10.24963/ijcai.2018/184

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Abstract

Recent work on Conditional Simple Temporal Networks (CSTNs) has

focused on checking the dynamic consistency (DC) property assuming

that execution strategies can react instantaneously to observations.

Three alternative semantics---IR-DC, 0-DC, and π-DC---have been presented.

The most practical DC-checking algorithm for CSTNs has only been analyzed

with respect to the IR-DC semantics, while the 0-DC semantics was shown to have a serious flaw

that the π-DC semantics fixed. Whether the IR-DC semantics had

the same flaw and, if so, what the consequences would be for the

DC-checking algorithm remained open questions.

This paper (1) shows that the IR-DC semantics is also flawed;

(2) shows that one of the constraint-propagation rules from

the IR-DC-checking algorithm is not sound with respect to the IR-DC

semantics;

(3) presents a simpler algorithm, called the π-DC-checking algorithm;

(4) proves that it is sound and complete with respect to the π-DC semantics;

and (5) empirically evaluates the new algorithm.

Keywords

  • Constraints and SAT: Constraint Satisfaction
  • Knowledge Representation and Reasoning: Geometric, Spatial, and Temporal Reasoning
  • Constraints and SAT: Constraints: Evaluation and Analysis
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