先验信息在随机知识评估中的应用

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS ACS Applied Bio Materials Pub Date : 2012-01-01 DOI:10.1027/1614-2241/A000035
J. Heller, Claudia Repitsch
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引用次数: 12

摘要

在知识结构理论中,各种有效评估个人知识状态的适应性程序已经发展起来。这些程序旨在通过提出最少数量的问题来详细描绘个人在某一领域的知识。迄今为止的研究大多侧重于理论问题,本文着重于对概率评估的实证评估。它对模拟数据的报告表明,评估的效率和准确性对参数的选择和由知识状态的初始似然捕获的先验信息都表现出相当大的敏感性。为了处理由于不正确的先验信息引起的问题,提出了一种扩展的概率评估方法。系统仿真结果证明了该方法的有效性和鲁棒性,以及在计算成本方面的可行性。
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Exploiting Prior Information in Stochastic Knowledge Assessment
Various adaptive procedures for efficiently assessing the knowledge state of an individual have been developed within the theory of knowledge structures. These procedures set out to draw a detailed picture of an individual’s knowledge in a certain field by posing a minimal number of questions. While research so far mostly emphasized theoretical issues, the present paper focuses on an empirical evaluation of probabilistic assessment. It reports on simulation data showing that both efficiency and accuracy of the assessment exhibit considerable sensitivity to the choice of parameters and prior information as captured by the initial likelihood of the knowledge states. In order to deal with problems that arise from incorrect prior information, an extension of the probabilistic assessment is proposed. Systematic simulations provide evidence for the efficiency and robustness of the proposed extension, as well as its feasibility in terms of computational costs.
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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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