超越资料库网格:建构主义知识获取工具开发的新方法

IF 5 2区 计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Jeffrey M. Bradshaw, Kenneth M. Ford, Jack R. Adams‐Webber, John H. Boose
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引用次数: 0

摘要

个人构念理论既为知识获取提供了合理的理论基础,又为建模提供了实用的方法。然而,这一理论中隐藏的思想只有一小部分得到了挖掘。最近,几位研究人员重新审视了这一理论,以发现新的方法,使其能够阐明知识获取的基础和实践。这些努力导致了新一代建构主义知识获取系统的发展:DDUCKS、ICONKAT和KSSn/KRS。这些工具以各种方式扩展了存储网格技术,并将它们与来自互补视角的想法集成在一起。对个人构形理论、同化理论、逻辑学、语义网络和决策分析之间关系的新理解形成了这些系统的基础。理论的进步促进了系统架构、知识表示的图形形式、分析和归纳技术以及知识获取工具的群体使用方面的实践发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Beyond the Repertory Grid: New Approaches to Constructivist Knowledge Acquisition Tool Development
Personal construct theory provides both a plausible theoretical foundation for knowledge acquisition and a practical approach to modeling. Yet, only a fraction of the ideas latent in this theory have been tapped. Recently, several researchers have been taking another look at the theory, to discover new ways that it can shed light on the foundations and practice of knowledge acquisition. These efforts have led to the development of a new generation of constructivist knowledge acquisition systems: DDUCKS, ICONKAT, and KSSn/KRS. These tools extend repertory grid techniques in various ways and integrate them with ideas springing from complementary perspectives. New understandings of relationships between personal construct theory, assimilation theory, logic, semantic networks, and decision analysis have formed the underpinnings of these systems. Theoretical progress has fostered practical development in system architecture, graphical forms of knowledge representation, analysis and induction techniques, and group use of knowledge acquisition tools.
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来源期刊
International Journal of Intelligent Systems
International Journal of Intelligent Systems 工程技术-计算机:人工智能
CiteScore
11.30
自引率
14.30%
发文量
304
审稿时长
9 months
期刊介绍: The International Journal of Intelligent Systems serves as a forum for individuals interested in tapping into the vast theories based on intelligent systems construction. With its peer-reviewed format, the journal explores several fascinating editorials written by today''s experts in the field. Because new developments are being introduced each day, there''s much to be learned — examination, analysis creation, information retrieval, man–computer interactions, and more. The International Journal of Intelligent Systems uses charts and illustrations to demonstrate these ground-breaking issues, and encourages readers to share their thoughts and experiences.
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