Inner entanglements : Narrowing the search in classical planning by problem reformulation
- Submitting institution
-
The University of Huddersfield
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 41
- Type
- D - Journal article
- DOI
-
10.1111/coin.12203
- Title of journal
- Computational Intelligence
- Article number
- -
- First page
- 395
- Volume
- 35
- Issue
- 2
- ISSN
- 0824-7935
- Open access status
- Compliant
- Month of publication
- March
- Year of publication
- 2019
- URL
-
-
- Supplementary information
-
-
- 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
-
2
- Research group(s)
-
-
- Citation count
- 0
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- An output of the Huddersfield-Edinburgh collaboration within the Autonomous and Intelligent Systems Partnership (funded by EPSRC grants EP/J011991/1, EP/J011800/1 and industrial collaborators Schlumberger-Gould), this substantial article in an ERA2010 A-rated journal explains the theory and empirical evidence behind a new form of autonmated reformulation for solving AISP-inspired planning problems more efficiently. Huddersfield’s research fellow Chrpa subsequently became an Assistant Professor at Czech Tech University, and furthered this work on reformulation e.g. it fed into grant “MoRePlan: Modelling and Reformulation of Planning Problems” awarded by Czech Science Foundation, for which Chrpa is a Co-I.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -