Adaptivity at every layer: a modular approach for evolving societies of learning autonomous systems
Proceedings of the 2008 international workshop on Software engineering for adaptive and self-managing systems
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In his landmark work introducing layered learning Stone presented a new way of handling complex application domains suitable especially for mobile robots. We extend his framework by introducing robust layered learning -- a framework that is able to handle system and environmental changes at every layer. We present first results of a lower level implementation of such a framework for mobile robots and discuss how all available sources of information regarding unforeseen changes can be integrated in such a framework in order to reach maximal robustness.