A disaster response system based on human-agent collectives
- Submitting institution
-
University of Southampton
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 20749731
- 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
- 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 an extended version of the AAMAS best Applications track paper (10.5555/2772879.2772947). Part of the work was done in collaboration with and informed the practices of Rescue Global (a disaster response charity), eventually being used in the Nepal earthquake response (https://bit.ly/32diDGx). The crowdsourced mapping work also formed the basis of a £1.4m platform grant (EP/P010164/1) on Smart Cities and Crowdsourced sensing. The work also led to winning a DASA (MoD) grant to develop a multi-UAV coordination platform. This work also led to the AXA Research fund award on Responsible AI (£200k).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -