Human–agent collaboration for disaster response
- Submitting institution
-
University of Nottingham, The
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 1319301
- Type
- D - Journal article
- DOI
-
10.1007/s10458-015-9286-4
- Title of journal
- Autonomous Agents and Multi-Agent Systems
- Article number
- -
- First page
- 82
- Volume
- 30
- Issue
- 1
- ISSN
- 1387-2532
- Open access status
- Out of scope for open access requirements
- Month of publication
- February
- Year of publication
- 2015
- 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
-
8
- Research group(s)
-
-
- Citation count
- 22
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The paper presents the iterative development and assessment of one of the first human agent collaborative systems. The work combines both theoretical agent based algorithms and assessment of human reaction to refine planning systems. The lessons for this work informed the work of rescue global (rescueglobal.org) a not-for-profit company supporting disaster response.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
