Are Ranking Semantics Sensitive to the Notion of Core?
- Submitting institution
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University of Aberdeen
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 158359717
- Type
- E - Conference contribution
- DOI
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- Title of conference / published proceedings
- Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems : AAMAS 2017
- First page
- 943
- Volume
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- Issue
- -
- ISSN
- -
- Open access status
- -
- Month of publication
- May
- Year of publication
- 2017
- URL
-
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- 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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2
- Research group(s)
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-
- Citation count
- 2
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This work was developed in the context of the French ANR ASPIQ project which aim is to propose new solutions for querying large scale multi-source databases. This paper investigates how the notions of cores and equivalences interact with ranking-based semantics under the Datalog± class of languages. The results are important for multiple areas of work such as logic-based argumentation, ranking-based semantics and ontology-based data access. The AAMAS reviewers agreed that the paper highlighted counter-intuitive results and that this was the first paper that considered the relation between logic-based argumentation and their cores w.r.t. ranking-based semantics.
- Author contribution statement
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- Non-English
- No
- English abstract
- -
