Providing descriptive power to guided self-elicitation

Glenn G. Shephard
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引用次数: 2

Abstract

Recent exploratory research developed and tested a guided self-elicitation (GSE) methodology. With GSE, an expert is enabled to capture his/her own performed expertise as production rule-instances. GSE is based on published cognitive research, using a production system view of conscious cognitive information processing and certain demonstrated human abilities: for identifying and categorizing perception, rehearsing and reconstituting prior thought processes and verbal reporting of concurrent cognitive information processing. Experimentally self-elicited decision analyst expertise (leading subjective probability assessment interviews) demonstrates that performed expertise can consist of complex rule-processed knowledge forms. An object model for representing complex knowledge forms is proposed and discussed.

为引导性自我启发提供描述性力量
最近的探索性研究开发并测试了一种引导式自我启发(GSE)方法。有了GSE,专家可以将他/她自己执行的专业知识作为生产规则实例。GSE基于已发表的认知研究,使用有意识认知信息处理的生产系统视图和某些已证明的人类能力:识别和分类感知,排练和重建先前的思维过程,以及对并发认知信息处理进行口头报告。实验性的自我引发的决策分析师专业知识(领先的主观概率评估访谈)表明,执行的专业知识可以由复杂的规则处理的知识形式组成。提出并讨论了一种表示复杂知识形式的对象模型。
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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