On the Configuration of Robust Static Parallel Portfolios for Efficient Plan Generation
- Submitting institution
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The University of Huddersfield
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 49
- Type
- E - Conference contribution
- DOI
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10.1007/978-3-319-93698-7_2
- Title of conference / published proceedings
- Computational Science – ICCS 2018 : 18th International Conference, Wuxi, China, June 11–13, 2018, Proceedings, Part I
- First page
- 15
- Volume
- 10860
- Issue
- -
- ISSN
- 0302-9743
- Open access status
- Compliant
- Month of publication
- June
- Year of publication
- 2018
- 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
- 0
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Published in the Core A-rated ICCS, this contribution followed from findings of the (non-submitted) paper Portfolio-based planning: State of the art, common practice and open challenges” Vallati, M., Chrpa, L. & Kitchin, D., 2015, in AI Communications, as well as building on previous work in our research group (e.g. “On the combination of argumentation solvers into parallel portfolios”, by M Vallati, F Cerutti, M Giacomin in Australasian Joint Conference on Artificial Intelligence, 315-327.) leading to a set of off-the-shelf techniques that can be exploited in any AI application, and pointing to parallel portfolios as the natural evolution of the area.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -