Norm Monitoring Under Partial Action Observability
- Submitting institution
-
Liverpool John Moores University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 1014
- Type
- D - Journal article
- DOI
-
10.1109/TCYB.2015.2513430
- Title of journal
- IEEE Transactions on Cybernetics
- Article number
- -
- First page
- 270
- Volume
- 47
- Issue
- 2
- ISSN
- 2168-2267
- Open access status
- Out of scope for open access requirements
- Month of publication
- January
- 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
- 3
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This work proposes novel reconstruction algorithms to tackle the problem of partial action observability that hinders the effectiveness of action monitoring and thus proper decision making. The evaluation conducted shows that the algorithms are able to reconstruct unobserved actions, resulting in a significantly increased number of norm violations and fulfilments detected. The work allows the application of a norm-based control mechanism to real-world applications like smart homes and robot control.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
