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Author: S. C. Lynch

Affiliation: University of Teesside, United Kingdom

Keyword(s): Meta-agents, Platforms, Middleware, Distributed systems.

Related Ontology Subjects/Areas/Topics: Agent Models and Architectures ; Agent Platforms and Interoperability ; Agents ; Artificial Intelligence ; Programming Environments and Languages

Abstract: Various multiagent platforms exist, each providing a range of individual capabilities but typically their implementations lack the flexibility to allow developers to adapt them to the differing needs of individual applications. This paper investigates the design of a kernel for MAS middleware based on primitive meta-agents. We specify these meta-agents and examine how they can be used to realise the capabilities required by multiagent platforms. We examine how changes in the organisation of meta-agents produce MAS platforms with differing behaviours. We evaluate the meta-agent approach by experimentation, demonstrating how modifications in meta-agent behaviour can provide different strategies for agent communication, scoping rules and connectivity with other tools.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Lynch, S. (2011). USING META-AGENTS TO BUILD MAS MIDDLEWARE. In Proceedings of the 3rd International Conference on Agents and Artificial Intelligence - Volume 1: ICAART, ISBN 978-989-8425-41-6; ISSN 2184-433X, pages 385-388. DOI: 10.5220/0003149603850388

@conference{icaart11,
author={S. C. Lynch.},
title={USING META-AGENTS TO BUILD MAS MIDDLEWARE},
booktitle={Proceedings of the 3rd International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,},
year={2011},
pages={385-388},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003149603850388},
isbn={978-989-8425-41-6},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the 3rd International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,
TI - USING META-AGENTS TO BUILD MAS MIDDLEWARE
SN - 978-989-8425-41-6
IS - 2184-433X
AU - Lynch, S.
PY - 2011
SP - 385
EP - 388
DO - 10.5220/0003149603850388