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Authors: Toshiharu Sugawara 1 ; Toshio Hiortsu 2 and Kensuke Fukuda 3

Affiliations: 1 Waseda University, Japan ; 2 Hosei University, Japan ; 3 National Institute of Informatics, Japan

Keyword(s): Task and resource allocation, Load-balancing, Massively multiagent systems, Contract net protocol.

Related Ontology Subjects/Areas/Topics: Agents ; Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Bioinformatics ; Biomedical Engineering ; Distributed and Mobile Software Systems ; Enterprise Information Systems ; Information Systems Analysis and Specification ; Knowledge Engineering and Ontology Development ; Knowledge-Based Systems ; Methodologies and Technologies ; Multi-Agent Systems ; Operational Research ; Simulation ; Software Engineering ; Symbolic Systems ; Task Planning and Execution

Abstract: We propose a probabilistic award selection strategy for a contract net protocol (CNP) in massively multi-agent systems (MMASs) for effective task allocations. Recent Internet and sensor network applications require sophisticated multi-agent system technologies to enable the large amounts of software and computing resources to be effectively used. Improving the overall performance of MMASs in which thousands of agents work concurrently requires a new negotiation strategy for appropriately allocating tasks to agents. Our proposed method probabilistically selects the awardee in CNP based on the statistical difference between bid values for subtasks that have different costs. We explain how our proposed method can significantly improve the overall performance of MMASs.

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Paper citation in several formats:
Sugawara, T.; Hiortsu, T. and Fukuda, K. (2010). PROBABILISTIC AWARD STRATEGY FOR CONTRACT NET PROTOCOL IN MASSIVELY MULTI-AGENT SYSTEMS. In Proceedings of the 2nd International Conference on Agents and Artificial Intelligence - Volume 2: ICAART; ISBN 978-989-674-022-1; ISSN 2184-433X, SciTePress, pages 165-171. DOI: 10.5220/0002712201650171

@conference{icaart10,
author={Toshiharu Sugawara. and Toshio Hiortsu. and Kensuke Fukuda.},
title={PROBABILISTIC AWARD STRATEGY FOR CONTRACT NET PROTOCOL IN MASSIVELY MULTI-AGENT SYSTEMS},
booktitle={Proceedings of the 2nd International Conference on Agents and Artificial Intelligence - Volume 2: ICAART},
year={2010},
pages={165-171},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002712201650171},
isbn={978-989-674-022-1},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the 2nd International Conference on Agents and Artificial Intelligence - Volume 2: ICAART
TI - PROBABILISTIC AWARD STRATEGY FOR CONTRACT NET PROTOCOL IN MASSIVELY MULTI-AGENT SYSTEMS
SN - 978-989-674-022-1
IS - 2184-433X
AU - Sugawara, T.
AU - Hiortsu, T.
AU - Fukuda, K.
PY - 2010
SP - 165
EP - 171
DO - 10.5220/0002712201650171
PB - SciTePress

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