Abstract
This paper presents an Adaptive Multi-Agent System (AMAS) to deal with the control of complex systems, such as bioprocesses, toward user-defined objectives. This control is made under a double constraint: no model of the controlled system can be used and the information available is limited to the values of the observable variables. Thanks to their observations, agents of the AMAS self-organize and create an adequate control policy to lead the system toward its objectives. The developed system is described and then tested on examples extracted from a prey-predator problem. Finally, the results are detailed and discussed.
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Videau, S., Bernon, C., Glize, P., Uribelarrea, JL. (2011). Controlling Bioprocesses Using Cooperative Self-organizing Agents. In: Demazeau, Y., Pěchoucěk, M., Corchado, J.M., Pérez, J.B. (eds) Advances on Practical Applications of Agents and Multiagent Systems. Advances in Intelligent and Soft Computing, vol 88. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19875-5_19
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DOI: https://doi.org/10.1007/978-3-642-19875-5_19
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-19874-8
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