人工知能
Online ISSN : 2435-8614
Print ISSN : 2188-2266
人工知能学会誌(1986~2013, Print ISSN:0912-8085)
属性値の差異に基づくカテゴリー形成モデルの実験的検討
水野 りか菅沼 義昇
著者情報
解説誌・一般情報誌 フリー

1993 年 8 巻 3 号 p. 357-366

詳細
抄録

This study proposes a category formation model based on attributive differences and demonstrates its validity by psychological experiments and computer simulations. The basic suppositions of this model are a) relativity of attributive values which leads to change in attributive weights according to their differences and b) contextual change of degrees of attention toward attributes. Results of categorization experiments supported the basic assumptions above, and newly suggested the need of flexible contextual determination processes of degrees of attention, which led to the modification of the model. Simulations, given appropreate intial values of weights and degrees of attention, replicated the experimental results, indicating the validity of the modified model. Individual simulations of all subjects also demonstrated its effectiveness, but revealed problems on selection of attributes and reconstruction of representation. Finally the need of reasonable heuristics to change categorization strategy abruptly was discussed in terms of the differences between the processes in the experiments and the simulations.

著者関連情報
© 1993 人工知能学会
前の記事 次の記事
feedback
Top