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Author: Hisayuki Sasaoka

Affiliation: Asahikawa National College of Technology, Japan

Keyword(s): The Swarm Intelligence, Ant Colony System, Multi-Agent System, Robocup.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Computational Intelligence ; Evolution Strategies ; Evolutionary Computing ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Machine Learning ; Soft Computing ; Swarm/Collective Intelligence ; Symbolic Systems

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.

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Paper citation in several formats:
Sasaoka, H. (2013). Acquiring Method for Agents’ Actions using Pheromone Communication between Agents. In Proceedings of the 5th International Joint Conference on Computational Intelligence (IJCCI 2013) - ECTA; ISBN 978-989-8565-77-8; ISSN 2184-3236, SciTePress, pages 91-96. DOI: 10.5220/0004538300910096

@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 (IJCCI 2013) - ECTA},
year={2013},
pages={91-96},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004538300910096},
isbn={978-989-8565-77-8},
issn={2184-3236},
}

TY - CONF

JO - Proceedings of the 5th International Joint Conference on Computational Intelligence (IJCCI 2013) - ECTA
TI - Acquiring Method for Agents’ Actions using Pheromone Communication between Agents
SN - 978-989-8565-77-8
IS - 2184-3236
AU - Sasaoka, H.
PY - 2013
SP - 91
EP - 96
DO - 10.5220/0004538300910096
PB - SciTePress