A robot sets a table : a case for hybrid reasoning with different types of knowledge
- Submitting institution
-
The University of Birmingham
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 78543918
- Type
- D - Journal article
- DOI
-
10.1080/0952813X.2015.1132267
- Title of journal
- Journal of Experimental and Theoretical Artificial Intelligence
- Article number
- -
- First page
- 801
- Volume
- 28
- Issue
- 5
- ISSN
- 0952-813X
- Open access status
- Out of scope for open access requirements
- Month of publication
- February
- Year of publication
- 2016
- 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
-
1
- Research group(s)
-
-
- Citation count
- 5
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper proposes a novel formulation of hybrid reasoning, which is the problem of jointly reasoning about heterogeneous and interdependent aspects of the world, expressed in different formalisms and at different levels of abstraction. The proposed approach constitutes a systematic way of achieving a domain-specific integration of reasoning capabilities. The significance derives from an application-agnostic algorithm that solves a hybrid problem. It was the key enabler of various industrial systems, including automated fleet management in intralogistics and drill pattern planning in open-pit mining. The latter system was filed as a patent in the Swedish and the US Patent offices.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
