A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf
.
Evolving Swarm Intelligence for Task Allocation in a Real Time Strategy Game
2014
2014 Brazilian Symposium on Computer Games and Digital Entertainment
Real time strategy games are complex scenarios where multiple agents must be coordinated in a dynamic, partially observable environment. In this work, we model coordination as a task allocation problem, in which specific tasks must be properly assigned to agents. We employ a task allocation algorithm based on swarm intelligence and adjust its parameters using a genetic algorithm. A fitness estimation method is employed to accelerate execution of the genetic algorithm. To evaluate this approach,
doi:10.1109/sbgames.2014.17
dblp:conf/sbgames/TavaresAC14
fatcat:v6rvufcqzrbnjcitx3sp7bbgqe