A Generalised Approach for Encoding and Reasoning with Qualitative Theories in Answer Set Programming
- Submitting institution
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The University of Huddersfield
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 2
- Type
- D - Journal article
- DOI
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10.1017/S1471068420000198
- Title of journal
- Theory and Practice of Logic Programming
- Article number
- -
- First page
- 687-702
- Volume
- 20
- Issue
- 5
- ISSN
- 1471-0684
- Open access status
- Compliant
- Month of publication
- -
- Year of publication
- 2020
- 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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- 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 ERA2010 A-ranked logic programming journal TPLP, this paper was an outcome of a collaboration with the Universities of California, Santa Barbara and Calabria supported by Huddersfield’s MIREL project (https://www.mirelproject.eu/) under the H2020 Marie Sklodowska Curie RISE scheme in AI for Law. This work continues our research on qualitative reasoning using ASP (https://www.cambridge.org/core/journals/theory-and-practice-of-logic-programming/article/trajectory-calculus-for-qualitative-spatial-reasoning-using-answer-set-programming/9994083570D2AE9B2D46959EF3E54D71), resulting in a structured approach to encoding any binary qualitative calculus as an ASP program. Reasoning with such encodings outperforms one of the two state-of-the-art reasoners available (SparQ) and is significantly more interpretable than the other (GQR), due to the inherent logic programming structure.
- Author contribution statement
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- Non-English
- No
- English abstract
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