Acquiring Method for Agents’ Actions using Pheromone Communication between Agents

Hisayuki Sasaoka

Abstract

We have known that an algorithm of Ant Colony System (ACS) and Max-Min Ant System (MM-AS) based on ACS are one of powerful meta-heuristics algorithms and some researchers have reported their effectiveness of some applications using then. On the other hand, we have known that the algorithms have some problems when we employed them in multi-agent system and we have proposed a new method which is improved MM-AS. This paper describes some results of evaluation experiments with agents implemented our proposed method. In these experiments, we have used seven maps and scenarios for RoboCup Rescue Simulation system (RCRS). To confirm the effectiveness of our method, we have considered agents’ action for fire-fighting in simulation and their improvements of scores.

References

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Paper Citation


in Harvard Style

Sasaoka H. (2013). Acquiring Method for Agents’ Actions using Pheromone Communication between Agents . In Proceedings of the 5th International Joint Conference on Computational Intelligence - Volume 1: ECTA, (IJCCI 2013) ISBN 978-989-8565-77-8, pages 91-96. DOI: 10.5220/0004538300910096


in Bibtex Style

@conference{ecta13,
author={Hisayuki Sasaoka},
title={Acquiring Method for Agents’ Actions using Pheromone Communication between Agents},
booktitle={Proceedings of the 5th International Joint Conference on Computational Intelligence - Volume 1: ECTA, (IJCCI 2013)},
year={2013},
pages={91-96},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004538300910096},
isbn={978-989-8565-77-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 5th International Joint Conference on Computational Intelligence - Volume 1: ECTA, (IJCCI 2013)
TI - Acquiring Method for Agents’ Actions using Pheromone Communication between Agents
SN - 978-989-8565-77-8
AU - Sasaoka H.
PY - 2013
SP - 91
EP - 96
DO - 10.5220/0004538300910096