認知科学
Online ISSN : 1881-5995
Print ISSN : 1341-7924
研究論文
カード分類課題に対するMatchable状況分解を用いた概念獲得
馬場 孝之山川 宏岡田 浩之
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ジャーナル フリー

2002 年 9 巻 1 号 p. 103-119

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In this paper, we propose the prediction system which uses the matchable situation decomposition technology in order to achieve a concept acquisition model which predicts various events in the real world. Our proposed prediction system extracts very regular partial situations which correspond to the concepts, constructs neural networks based on each concept, and predicts outputs based on the concepts selected by the integration unit. By simulations of using the card classification problem, we show that our proposed prediction system can predict from fewer events than other prediction systems.

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© 2002 日本認知科学会
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