Human-agent collaboration for disaster response
- Submitting institution
-
University of Southampton
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 20749730
- 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
- Output from award-winning programme grant; significantly builds upon paper in leading conference (AAMAS 2015) that won Best Innovative Applications Track Paper. The work tests a novel human-machine teaming algorithm in dynamic and uncertain environments. It demonstrates the value of Markov Decision Processes in real-world disaster response and develops interfaces for such techniques.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -