PDDL+ planning with events and linear processes
- Submitting institution
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King's College London
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 87507385
- Type
- E - Conference contribution
- DOI
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- Title of conference / published proceedings
- ICAPS 2014, the 24th International Conference on Automated Planning and Scheduling
- First page
- 74
- Volume
- 24
- Issue
- 1
- ISSN
- 2334-0843
- Open access status
- Out of scope for open access requirements
- Month of publication
- May
- Year of publication
- 2014
- URL
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https://ojs.aaai.org/index.php/ICAPS/article/view/13647
- 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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1
- Research group(s)
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-
- Citation count
- -
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper presented the first fully automated PDDL+ planner to handle processes and events; i.e. where action plans must be found that are correct with respect to ongoing processes and events in environments whose behaviour may be influenced by the actions taken. It rigorously characterises both a compilation approach, and a search space for reasoning with processes and events natively; the latter is shown, through empirical evaluation, to have considerable benefits. This paper formed the basis of a funded EPSRC grant proposal EP/P008410/1 ‘AI Planning with Continuous Non-Linear Change’ (PI: Amanda Coles), and in turn a publication at ICAPS 2018.
- Author contribution statement
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- Non-English
- No
- English abstract
- -