Abstract—This paper has presented acquiring method for
agents’ actions using Ant Colony System (ACS) in multi-agent
system. ACS is one of powerful meta-heuristics algorithms and
some researchers have reported the effectiveness of some
applications with the algorithm. I have developed agents with
proposed method in a multi-agent system. The final goal of this
research is an achievement of co-operations for hetero-agent in
multi-agent systems. In this research for implementation for
one type of agents is the first step of this goal. Then I have
reported results of evaluation experiments using these agents.
Index Terms—Machine learning, multi-agent system, swarm
intelligence, ant colony optimization.
Hisayuki Sasaoka is with Asahikawa National College of Technology
(e-mail: author@ boulder.nist.gov).
Cite:Hisayuki Sasaoka, "Evaluation for Acquiring Method for Agents’ Actions Using Pheromone Communication in Multi-Agent System," International Journal of Machine Learning and Computing vol. 3, no. 1, pp. 103-106, 2013.