Chain of command in autonomous cooperative agents for battles in real-time strategy games
- Submitting institution
-
Brunel University London
- Unit of assessment
- 12 - Engineering
- Output identifier
- 346-214379-7001852
- Type
- D - Journal article
- DOI
-
10.1007/s40692-018-0119-8
- Title of journal
- Journal Of Computers In Education
- Article number
- -
- First page
- 21
- Volume
- 6
- Issue
- 1
- ISSN
- 2197-9987
- Open access status
- Compliant
- Month of publication
- March
- Year of publication
- 2019
- URL
-
-
- Supplementary information
-
https://static-content.springer.com/esm/art%3A10.1007%2Fs40692-018-0119-8/MediaObjects/40692_2018_119_MOESM1_ESM.pdf
- 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)
-
5 - Manufacturing & Design
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper extends and enhances the authors’ previous work on using swarm intelligence for implementing autonomous cooperative agents in battles for real-time strategy games (https://doi.org/10.1109/VS-GAMES.2017.8055809). It integrates chain of command in swarm intelligence of honey bees to create groups of ranked cooperative autonomous agents for RTS scenarios. Experimental results demonstrate that this approach improves cooperative decision making and increases agent believability. The outcomes of this research have enabled further research in use of the architecture as a use-case for autonomous fleet management in 5G networks.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
