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Autonomous machine learning of effective control strategies with connectionist-net

✍ Scribed by Yoh-Han Pao


Publisher
Springer Netherlands
Year
1988
Tongue
English
Weight
884 KB
Volume
1
Category
Article
ISSN
0921-0296

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✦ Synopsis


We report on an investigation of the feasibility of using connectionist-nets of the Rumelhart semi-linear feedforward type for learning and exercising intelligent system control. Of particular interest is the ability of such nets to disco~'er the basis for decision and control. Of great interest also is an unexpected finding that such nets automatically build up a great deal of redundancy within itself so that it has a certain holographic quality to it and its performance degrades gradually with internal damage.