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Authors: Sylvain Videau ; Carole Bernon and Pierre Glize

Affiliation: Toulouse III University, France

Keyword(s): Adaptive control, Multi-agent systems, Cooperation, Bioprocess.

Related Ontology Subjects/Areas/Topics: Agents ; Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Bioinformatics ; Biomedical Engineering ; Cooperation and Coordination ; 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

Abstract: Bioprocesses are especially difficult to model due to their complexity and the lack of knowledge available to fully describe a microorganism and its behavior. Furthermore, controlling such complex systems means to deal with their non-linearity and their time-varying aspects. In order to overcome these difficulties, we propose a generic approach for the control of a bioprocess. This approach relies on the use of an Adaptive Multi-Agent System (AMAS), acting as the controller of the bioprocess. This gives it genericity and adaptability, allowing its application to a wide range of problems and a fast answer to dynamic modifications of the real system. The global control problem will be turned into a sum of local problems. Interactions between local agents, which solve their own inverse problem and act in a cooperative way, will enable the emergence of an adequate global function for solving the global problem while fulfilling the user's request. An instantiation of this approach is th en applied to an equation solving problem, and the related results are presented and discussed. (More)

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Paper citation in several formats:
Videau, S.; Bernon, C. and Glize, P. (2010). SELF-ADAPTIVE MULTI-AGENT SYSTEM FOR SELF-REGULATING REAL-TIME PROCESS - Preliminary Study in Bioprocess Control. 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 30-37. DOI: 10.5220/0002725100300037

@conference{icaart10,
author={Sylvain Videau. and Carole Bernon. and Pierre Glize.},
title={SELF-ADAPTIVE MULTI-AGENT SYSTEM FOR SELF-REGULATING REAL-TIME PROCESS - Preliminary Study in Bioprocess Control},
booktitle={Proceedings of the 2nd International Conference on Agents and Artificial Intelligence - Volume 2: ICAART},
year={2010},
pages={30-37},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002725100300037},
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 - SELF-ADAPTIVE MULTI-AGENT SYSTEM FOR SELF-REGULATING REAL-TIME PROCESS - Preliminary Study in Bioprocess Control
SN - 978-989-674-022-1
IS - 2184-433X
AU - Videau, S.
AU - Bernon, C.
AU - Glize, P.
PY - 2010
SP - 30
EP - 37
DO - 10.5220/0002725100300037
PB - SciTePress