Behavior-based learning to control IR oven heating: Preliminary investigations
We formalize a behavior-based learning architecture for an autonomous agent. The IR oven tuning problem is introduced and is investigated as a real industrial application of this architecture. The algorithm we developed was shown to be very robust and was tested through simulation of different intelligent machines, including Genghis . The distinguishing feature of this learning algorithm is that the convergent property can be preserved. This is crucial for achieving the final goals of tuning.
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