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.
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