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Authors: Monica Vitali 1 ; Massimo Cossentino 2 ; Riccardo Rizzo 2 and Salvatore Gaglio 3

Affiliations: 1 Università degli studi di Palermo, Italy ; 2 CNR-ICAR Palermo, Italy ; 3 Università degli studi di Palermo and CNR-ICAR Palermo, Italy

Keyword(s): Agent models and architectures, Multi-agent systems, adaptation.

Related Ontology Subjects/Areas/Topics: Agent Models and Architectures ; Agents ; Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Distributed and Mobile Software Systems ; Enterprise Information Systems ; Knowledge Engineering and Ontology Development ; Knowledge-Based Systems ; Multi-Agent Systems ; Software Engineering ; Symbolic Systems

Abstract: A set of software agents can be programmed to provide a large but finite set of services, often defined during design phase. After an evolution of the external environment, the pre-defined services could be unable to satisfy the requested quality. In this work an agent framework is proposed capable to adapt the agents in order to improve the quality of services provided by an agent society in correspondence with a modification of the external environment. These agents are based on a biologically inspired structure (genome), that defines all their behaviors and knowledges.

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Paper citation in several formats:
Vitali, M.; Cossentino, M.; Rizzo, R. and Gaglio, S. (2011). A GENOME BASED VISION OF MULTI-AGENT SYSTEMS. In Proceedings of the 3rd International Conference on Agents and Artificial Intelligence - Volume 1: ICAART; ISBN 978-989-8425-41-6; ISSN 2184-433X, SciTePress, pages 406-409. DOI: 10.5220/0003165204060409

@conference{icaart11,
author={Monica Vitali. and Massimo Cossentino. and Riccardo Rizzo. and Salvatore Gaglio.},
title={A GENOME BASED VISION OF MULTI-AGENT SYSTEMS},
booktitle={Proceedings of the 3rd International Conference on Agents and Artificial Intelligence - Volume 1: ICAART},
year={2011},
pages={406-409},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003165204060409},
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 - A GENOME BASED VISION OF MULTI-AGENT SYSTEMS
SN - 978-989-8425-41-6
IS - 2184-433X
AU - Vitali, M.
AU - Cossentino, M.
AU - Rizzo, R.
AU - Gaglio, S.
PY - 2011
SP - 406
EP - 409
DO - 10.5220/0003165204060409
PB - SciTePress

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