A disaster response system based on human-agent collectives
- Submitting institution
-
University of Nottingham, The
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 1319312
- Type
- D - Journal article
- DOI
-
10.1613/jair.5098
- Title of journal
- Journal of Artificial Intelligence Research
- Article number
- -
- First page
- 661
- Volume
- 57
- Issue
- -
- ISSN
- 1076-9757
- Open access status
- Not compliant
- Month of publication
- December
- 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
-
12
- Research group(s)
-
-
- Citation count
- 20
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This is a follow on journal article deepening the contribution of an earlier AAMAS conference paper that won a Best Application Track paper award. The paper presents a working real-world system that demonstrates interoperability of a range of AI techniques, applications, information architectures, and user interfaces, and validates each component in real-world settings or with realistic datasets. It presents the main demonstrator produced within the 5-year EPSRC programme grant ORCHID, underpins multiple publications in the multidisciplinary area of Human-Agent Collectives, and led to a number of follow on grants, including most recently the £12M UKRI TAS Hub.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
