基于新数学表征的心理诊断系统的发展

IF 0.4 Q4 PSYCHOLOGY, EXPERIMENTAL
L.S. Kuravsky, G.A. Yuryev, N.E. Yuryeva, I.A. Nikolaev, A.O. Nesimova, B.Y. Polyakov, A.D. Kozyrev
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引用次数: 0

摘要

<p style="text-align: justify;">提出了一种开发心理诊断自适应系统的新方法,可视为评估受试者活动的人工智能工具。它是基于应用马尔可夫过程的卷积,表示正在研究的诊断过程的量子表示,这使得有可能在量子光谱分析的帮助下揭示该过程的结构。当使用小样本的经验数据来建立诊断工具时,所考虑的量子估计比相关的似然估计和贝叶斯估计以及基于神经网络的更简单的估计具有显著的优势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Development of Psychological Diagnostics Systems Basing on New Mathematical Representations

Suggested is a new approach to development of the adaptive systems for psychological diagnostics, which can be considered as artificial intelligence tools for assessing the subject activities. It is based on the convolution of the applied Markovian process representing a diagnostic procedure under study into the quantum representation, which makes it possible to reveal the structure of this procedure with the aid of the quantum spectral analysis. When small samples of empirical data are in use to set up diagnostic tools, the considered quantum estimates have significant advantages over the relevant likelihood and Bayesian estimates as well as over the simpler estimates based on the neural networks.

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来源期刊
Eksperimentalnaya Psikhologiya
Eksperimentalnaya Psikhologiya PSYCHOLOGY, EXPERIMENTAL-
CiteScore
0.90
自引率
50.00%
发文量
16
审稿时长
12 weeks
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