Goal-constrained Planning Domain Model Verification of Safety Properties
November 22, 2018 Β· Declared Dead Β· π STAIRS@ECAI
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Authors
Anas Shrinah, Kerstin Eder
arXiv ID
1811.09231
Category
cs.AI: Artificial Intelligence
Citations
1
Venue
STAIRS@ECAI
Last Checked
3 months ago
Abstract
The verification of planning domain models is crucial to ensure the safety, integrity and correctness of planning-based automated systems. This task is usually performed using model checking techniques. However, unconstrained application of model checkers to verify planning domain models can result in false positives, i.e.counterexamples that are unreachable by a sound planner when using the domain under verification during a planning task. In this paper, we discuss the downside of unconstrained planning domain model verification. We then introduce the notion of a valid planning counterexample, and demonstrate how model checkers, as well as state trajectory constraints planning techniques, should be used to verify planning domain models so that invalid planning counterexamples are not returned.
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