Severity-sensitive norm-governed multi-agent planning
- Submitting institution
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University of Southampton
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 23908318
- Type
- D - Journal article
- DOI
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10.1007/s10458-017-9372-x
- Title of journal
- Autonomous Agents and Multi-Agent Systems
- Article number
- -
- First page
- 26
- Volume
- 32
- Issue
- 1
- ISSN
- 1387-2532
- Open access status
- Compliant
- Month of publication
- July
- Year of publication
- 2017
- 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
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2
- Research group(s)
-
-
- Citation count
- 2
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The research reported in this paper is the culmination of a substantial body of research on norm-governed planning and decision making. It extends research published in two major conferences: AAMAS 2016 (http://www.ifaamas.org/Proceedings/aamas2016/pdfs/p1265.pdf) and ECAI 2016 (DOI: 10.3233/978-1-61499-672-9-444). In order to support reproducible research, the algorithms and experimental materials developed are freely available under a BSD license (DOI: 10.5258/SOTON/D0139). The research has led to a co-funded iPhD studentship with Roke Manor Research on reinforcement learning under safety constraints through the UKRI MINDS CDT (EP/S024298/1, £5.82M, Norman PI); contact: andrew.rogoyski@roke.co.uk
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -