A Disaster Response System based on Human-Agent Collectives
- Submitting institution
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King's College London
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 84888600
- Type
- D - Journal article
- DOI
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10.1613/jair.5098
- Title of journal
- Journal 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
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- 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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12
- Research group(s)
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-
- Citation count
- 20
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper synthesises the key characteristics of a Human-Agent Collective designed to manage real-world disaster responses. This ORCHID (www.orchid.ac.uk) application described in an earlier publication won the Best Paper of the Innovative Applications Track at AAMAS15, and the project won a Collaborate to Innovate Award in 2016 https://epsrc.ukri.org/blog/collaborationinnovation/. By tracking the provenance of decisions, the system is able to assist re-planning of activities when new information invalidates previous assumptions. The approach was informed by focus groups and trials with the Rescue Global team of rescue responders, ensuring that the proposed approach is rigorously grounded in real user experience.
- Author contribution statement
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- Non-English
- No
- English abstract
- -