Planning as Model Checking in Hybrid Domains
- Submitting institution
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University of Newcastle upon Tyne
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 271829-266709-1292
- Type
- E - Conference contribution
- DOI
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10.5555/2892753.2892861
- Title of conference / published proceedings
- AAAI'14: Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence
- First page
- 2228
- Volume
- -
- Issue
- -
- ISSN
- -
- Open access status
- -
- Month of publication
- July
- Year of publication
- 2014
- URL
-
https://doi.org/10.5555/2892753.2892861
- Supplementary information
-
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- Request cross-referral to
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- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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3
- Research group(s)
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A - Advanced Model-Based Engineering and Reasoning (AMBER)
- Citation count
- 7
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The paper makes a first step in bridging the gap between the areas of AI planning and verification of hybrid automata by providing a translation scheme from PDDL+, a formalism to describe planning domains, to hybrid automata. As a result, PDDL+ domains that are out of the scope of state-of-the-art planners can be addressed. This paper initiated a collaboration (2014-2019) with King’s College London (UK) and the University of Basel (Switzerland) which resulted in a series of publications, e.g., at ICAPS’15 and ICAPS’19. This paper led to an AUD100K grant from the Defence Science and Technology Group (Australia).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -