Abstract
This paper has presented an acquiring method for agents' actions using Ant Colony Optimization (ACO) in multi-agent system. ACO is one of powerful meta-heuristics algorithms and researchers have reported the effectiveness of applications with the algorithm. We have developed the experimental system with soccer agents using ACO in RoboCup Soccer Simulation League and have reported the results of some experiments with our system.
