Summary
The paper aims at a systematic approach to the self-organization of behavior. It is rooted in the ideas of situated artificial intelligence and introduces situated behavior as the target for the self-organization procedure. Based on a quantitative measure of behavioral situatedness a learning dynamics is introduced which enables the controller to sustain the situatedness of the agent. The principle is demonstrated with Khepera robots in a number of different environmental conditions.
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Der, R. Self-organized acquisition of situated behaviors. Theory Biosci. 120, 179–187 (2001). https://doi.org/10.1007/s12064-001-0017-9
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DOI: https://doi.org/10.1007/s12064-001-0017-9