"Anonymous hedonic game for task allocation in a large-scale multiple agent system"
- Submitting institution
-
Cranfield University
- Unit of assessment
- 12 - Engineering
- Output identifier
- 21365447
- Type
- D - Journal article
- DOI
-
10.1109/TRO.2018.2858292
- Title of journal
- IEEE Transactions on Robotics
- Article number
- -
- First page
- 1534
- Volume
- ="34"
- Issue
- ="6"
- ISSN
- 1552-3098
- Open access status
- Exception within 3 months of publication
- Month of publication
- August
- Year of publication
- 2018
- 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
-
2
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This research led to funding from the US Air Force Office of Scientific Research (US$ 375K, FA9550-19-1-7032) to investigate real-time decision making for autonomous systems using AI methods as well as author (Shin) delivering an invited keynote at the 3rd IEEE International Conference on Unmanned Systems. Author (Shin) secured a Research Fellowship position at the University of Manchester.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
