A GENOME BASED VISION OF MULTI-AGENT SYSTEMS

Monica Vitali, Massimo Cossentino, Riccardo Rizzo, Salvatore Gaglio

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.

References

  1. Banzhaf, W. (1998). Genetic Programming: An Introduction on the Automatic Evolution of computer programs and its Applications. Morgan Kaufmann.
  2. Gleizes, M.-P., Camps, V., and Glize, P. (1999). A theory of emergent computation based on cooperative selforganization for adaptive artificial systems. In In proc. of Fourth European Congress of Systems Science.
  3. Koza, R. (1992). Genetic Programming: On the Programming of Computers by means of Natural Selection. MIT Press.
  4. Mitchell, M. (1998). An introduction to genetic algorithms. The MIT press.
  5. Noy, N. and Musen, M. (1999). An algorithm for merging and aligning ontologies: Automation and tool support. In Proceedings of the Workshop on Ontology Management at the Sixteenth National Conference on Artificial Intelligence (AAAI-99), pages 1999-0799.
  6. van der Aalst, W., ter Hofstede, A., Kiepuszewski, B., and Barros, A. (2003). Workflow Patterns. Distributed and Parallel Databases, 14(1):5-51.
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Paper Citation


in Harvard Style

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 2: ICAART, ISBN 978-989-8425-41-6, pages 406-409. DOI: 10.5220/0003165204060409


in Bibtex Style

@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 2: ICAART,},
year={2011},
pages={406-409},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003165204060409},
isbn={978-989-8425-41-6},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 3rd International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,
TI - A GENOME BASED VISION OF MULTI-AGENT SYSTEMS
SN - 978-989-8425-41-6
AU - Vitali M.
AU - Cossentino M.
AU - Rizzo R.
AU - Gaglio S.
PY - 2011
SP - 406
EP - 409
DO - 10.5220/0003165204060409