A disaster response system based on human-agent collectives
- Submitting institution
-
Imperial College of Science, Technology and Medicine
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 2394
- 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
- 1943-5037
- Open access status
- Compliant
- Month of publication
- December
- Year of publication
- 2016
- URL
-
-
- Supplementary information
-
10.1613/jair.5098
- 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 details the main application demonstration from the ORCHID programme grant, winner of The Engineer’s "Collaborate to Innovate” award in 2016. The paper was invited as the recipient of the best paper award at the Innovative Applications Track at AAMAS 2015 (http://www.ifaamas.org/Proceedings/aamas2015/forms/awards.htm). This disaster response system is a highly multi-disciplinary scientific endeavour, bringing together experts from machine learning, HCI, Design Ethnography, and agent-based computing. Key components of this system were deployed by Rescue Global in their response to the Nepal Earthquake.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
