概念獲得研究の現状と課題

概要

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Concept acquisition is one of the major themes in cognitive science. The purpose of this paper is to review the advances and issues of concept acquisition research after mid-80s. We review the prominent studies from human cognitive psychology, machine learning, and conceptual development research, which seem to be important for the explicit modeling of human concept acquisition process. As for cognitive psychology, impact of theory-based concept view and significance of normative reconstruction of similarity-based concept models are compared. As for machine learning research, explanation-based learning models and connectionist models are introduced, and their applications to human concept acquisition research are explored. As for conceptual development research, studies which hypothesize various constraints are criticized for their lack of computational considerations. We argue that it is important to make a clear distinction between internal conceptual computation and external concept use, and that modular approaches to concept acquisition modeling are promising.
東京大学の論文
1993-03-30