An Intelligent Agent Validation Architecture for Distributed Manufacturing Organizations
Francisco Maturana, Raymond J. Staron, Kenwood H. Hall, Pavel Tichý, Petr Šlechta, Vladimı́r Mařı́k · Kluwer Academic Publishers eBooks · 2006
In this paper, we focus on validation of Multi-Agent System (MAS) behavior. We describe the simulation architecture and the system design methodology to accomplish the appropriate agent behavior for controlling a real-life automation system. The architecture is explained in the context of an industrial-sized water cooling system. Nevertheless, it is intended to operate in a wide spectrum of control domains. In general, after the design of the control system is accomplished, a set of validation procedures takes place. The current needs are to validate both the control and the agent levels as integrated parts. Hence there is a need to establish a general architecture and methodology for easing the commissioning process of the control solution. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.