Learning symbolic rules with a reactive with tags classifier system in robot navigation
作者： María Araceli Sanchis de Miguel , José Manuel Molina López , Pedro Isasi , Javier Segovia
DOI: 10.1007/BFB0100522
关键词:
摘要: Classifier System are special production systems where conditions and actions codified in order to learn new rules by means of Genetic Algorithms (GA). These combine the execution capabilities symbolic learning Algorithms. The Reactive with Tags (RTCS) is able that allow generate sequence actions, chaining among different time instants, react environmental situations, considering last situation take a decision. capacity RTCS good has been prove robotics navigation problem. Results show suitablity this aproximation problem coherence extracted rules.
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sci-hub.se 参考文章(15)
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