神经机器人控制器的自组织调制

Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290) Pub Date : 2002-08-07 DOI:10.1109/IJCNN.2002.1005522

N. Bergfeldt, F. Linåker

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引用次数: 8

摘要

我们展示了一个简单的分层系统如何自组织成一组不同的状态和定性不同的行为，作为学习机器人延迟响应任务的结果。我们的方法基于这样一种体系结构，在这种体系结构中，高层可以在需要时动态地调整低层的响应式映射。

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Self-organized modulation of a neural robot controller

We show how a simple layered system can self-organize into a set of distinct states and qualitatively different behaviors as a result of the learning a robotic delayed response task. Our approach is based on an architecture where higher levels are able to dynamically modulate the lower reactive mapping when needed.

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Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290)

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