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双向概念认知学习法：从模糊技能渐进学习的角度看问题

IF 2.4 4区 计算机科学 Q2 COMPUTER SCIENCE, THEORY & METHODS
International Journal of General Systems Pub Date : 2024-09-02 DOI:10.1080/03081079.2024.2396859
Xiaoxian Xie, Jinjin Li, Bo Wang
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引用次数: 0

摘要

概念认知学习和双向概念认知学习已被广泛用于从给定线索中学习概念，并取得了丰硕的成果。然而，它们仍存在一些局限性。
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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Two-way concept-cognitive learning method: a perspective from progressive learning of fuzzy skills
Concept-cognitive learning and two-way concept-cognitive learning have been widely used to learn concepts from given cues, and fruitful results have been obtained. However, there are still some lim...
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来源期刊
International Journal of General Systems
International Journal of General Systems 工程技术-计算机：理论方法
CiteScore
4.10
自引率
20.00%
发文量
38
审稿时长
6 months
期刊介绍： International Journal of General Systems is a periodical devoted primarily to the publication of original research contributions to system science, basic as well as applied. However, relevant survey articles, invited book reviews, bibliographies, and letters to the editor are also published. The principal aim of the journal is to promote original systems ideas (concepts, principles, methods, theoretical or experimental results, etc.) that are broadly applicable to various kinds of systems. The term “general system” in the name of the journal is intended to indicate this aim–the orientation to systems ideas that have a general applicability. Typical subject areas covered by the journal include: uncertainty and randomness; fuzziness and imprecision; information; complexity; inductive and deductive reasoning about systems; learning; systems analysis and design; and theoretical as well as experimental knowledge regarding various categories of systems. Submitted research must be well presented and must clearly state the contribution and novelty. Manuscripts dealing with particular kinds of systems which lack general applicability across a broad range of systems should be sent to journals specializing in the respective topics.
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