Complexity in Analogy Tasks: An Analysis and Computational Model

被引：4
|
作者：
Stahl, Philip [1 ]
Ragni, Marco [1 ]
机构：
[1] Univ Freiburg, Freiburg, Germany
来源：
ECAI 2010 - 19TH EUROPEAN CONFERENCE ON ARTIFICIAL INTELLIGENCE | 2010年 / 215卷
关键词：
D O I：
10.3233/978-1-60750-606-5-1041
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this article, we introduce a complexity measure for matrix tasks which occur in IQ-tests with respect to the kind of functions necessary to solve such tasks. The aim is to capture human reasoning difficulty. We implemented a program which is able to solve matrix tasks and to evaluate their complexity by our measure. The results of the evaluation are compared with the empirical difficulty ranking from Cattell's Culture Fair Test.
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页码：1041 / 1042
页数：2
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