The future of associative learning

Proceedings 1995 Second New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems Pub Date : 1995-11-20 DOI:10.1109/ANNES.1995.499470

J. Andreae

引用次数: 1

Abstract

Research into associative learning has been under taboo within AI for more than three decades. The author argues that the prospects of associative learning are too good for this to be allowed to continue. He discusses the development of STeLLA learning robot, PURR-PUSS system and the application of the CMAC neural network.

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联想学习的未来

30多年来，联想学习的研究一直是人工智能领域的禁忌。作者认为，联想学习的前景太好了，不能让这种情况继续下去。他讨论了STeLLA学习机器人、PURR-PUSS系统的发展以及CMAC神经网络的应用。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Proceedings 1995 Second New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems

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