Self-organizing processes are crucial for the development of living beings. Practical applications in robots may benefit from the self-organization of behavior, e.g. for the increased fault tolerance and enhanced flexibility provided that external goals can also be achieved. We present several methods for the guidance of self-organizing control by externally prescribed criteria. We show that the degree of self-organized explorativity of the robot can be regulated and that problem-specific error functions, hints, or abstract symbolic descriptions of a goal can be reconciled with the continuous robot dynamics.
|Title of host publication||From Animals to Animats 11|
|Subtitle of host publication||11th International Conference on Simulation of Adaptive Behavior, SAB 2010, Paris - Clos Lucé, France, August 25-28, 2010. Proceedings|
|Editors||Stéphane Doncieux, Benoit Girard, Agnès Guillot, John Hallam, Jean-Arcady Meyer, Jean-Baptiste Mouret|
|Number of pages||12|
|Publication status||Published - 2010|
|Name||Lecture Notes in Computer Science|
|Publisher||Springer Berlin / Heidelberg|