Planning for hybrid systems via Satisfiability Modulo Theories
- Submitting institution
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University of Strathclyde
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 111797319
- Type
- D - Journal article
- DOI
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10.1613/jair.1.11751
- Title of journal
- Journal of Artificial Intelligence Research
- Article number
- -
- First page
- 235
- Volume
- 67
- Issue
- -
- ISSN
- 1076-9757
- Open access status
- Compliant
- Month of publication
- February
- Year of publication
- 2020
- URL
-
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- Supplementary information
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- Request cross-referral to
- -
- 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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2
- Research group(s)
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-
- Citation count
- 1
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The preliminary work of this paper was published in the top conference on Planning (ICAPS-16) and lead to an invitation to present SMTPlan at Dagstuhl Seminar 18071: Planning and Operations Research. SMTPlan was the first encoding of expressive PDDL+ problems to SMT, instigating a new research area and serving as the baseline for state-of-the-art (Say et al. IJCAI-17; Fernández-González AAAI-17; Leofante iFM-18). The software has been used by international groups, such as the University of Melbourne and Fondazione Bruno Kessler. A tutorial involving SMTPlan was presented at top AI conference ECAI-16.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -