Agile Planning for Real-World Disaster Response
- Submitting institution
-
University of Nottingham, The
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 1319296
- Type
- E - Conference contribution
- DOI
-
-
- Title of conference / published proceedings
- Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence
- First page
- 132
- Volume
- 2015-July
- Issue
- -
- ISSN
- -
- Open access status
- -
- Month of publication
- July
- 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
- Yes
- Number of additional authors
-
5
- Research group(s)
-
-
- Citation count
- 3
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper presents an original planning algorithm for a disaster response application and validates it on the basis of real-world data. The paper was published in one of the top AI conferences and is one of the key technical outcomes from the five-year EPSRC programme grant ORCHID. It takes a highly multi-disciplinary approach to formulating an AI problem and evaluates it using a process validated by emergency responders.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
