6. Reasoning by Analogy

2020 ◽  
pp. 125-135
Keyword(s):  
1980 ◽  
Vol 23 (12) ◽  
pp. 689-703 ◽  
Author(s):  
Patrick H. Winston
Keyword(s):  

Pythagoras ◽  
2008 ◽  
Vol 0 (68) ◽  
Author(s):  
Michael De Villiers

This paper first discusses the genetic approach and the relevance of the history of mathematics for teaching, reasoning by analogy, and the role of constructive defining in the creation of new mathematical content. It then uses constructive defining to generate a new generalization of the Nagel line of a triangle to polygons circumscribed around a circle, based on an analogy between the Nagel line and the Euler line of a triangle.


2020 ◽  
Vol 17 (8) ◽  
pp. 835-839
Author(s):  
Eunchong Seo ◽  
Se Jun Koo ◽  
Ye Jin Kim ◽  
Jee Eun Min ◽  
Hye Yoon Park ◽  
...  

Objective The Reading the Mind in the Eyes Test (RMET) is a common measure of the Theory of Mind. Previous studies found a correlation between RMET performance and neurocognition, especially reasoning by analogy; however, the nature of this relationship remains unclear. Additionally, neurocognition was shown to play a significant role in facial emotion recognition. This study is planned to examine the nature of relationship between neurocognition and RMET performance, as well as the mediating role of facial emotion recognition.Methods One hundred fifty non-clinical youths performed the RMET. Reasoning by analogy was tested by Raven’s Standard Progressive Matrices (SPM) and facial emotion recognition was assessed by the Korean Facial Expressions of Emotion (KOFEE) test. The percentile bootstrap method was used to calculate the parameters of the mediating effects of facial emotion recognition on the relationship between SPM and RMET scores.Results SPM scores and KOFEE scores were both statistically significant predictors of RMET scores. KOFEE scores were found to partially mediate the impact of SPM scores on RMET scores.Conclusion These findings suggested that facial emotion recognition partially mediated the relationship between reasoning by analogy and social cognition. This study highlights the need for further research for individuals with serious mental illnesses.


Author(s):  
Xenia Naidenova

This chapter summarizes some methods of inferring approximate diagnostic tests. Considering the sets of approximately minimal diagnostic tests as “characteristic portraits” of object classes we have developed a model of commonsense reasoning by analogy. The system DEFINE of analogical inference with some results of its application is described. Mining approximate functional, implicative dependencies and association rules is based on the same criteria and on applying the same algorithm realized in the Diagnostic Test Machine described shortly in this chapter. Some results of inferring “crisp” and approximate tests with the use of Diagnostic Test Machine are give in Appendix to this chapter.


1984 ◽  
Vol 51 (1) ◽  
pp. 137-149 ◽  
Author(s):  
Julian S. Weitzenfeld
Keyword(s):  

Brain ◽  
2016 ◽  
Vol 139 (6) ◽  
pp. 1783-1799 ◽  
Author(s):  
Marika Urbanski ◽  
Marie-Laure Bréchemier ◽  
Béatrice Garcin ◽  
David Bendetowicz ◽  
Michel Thiebaut de Schotten ◽  
...  

1993 ◽  
Vol 10 (3) ◽  
pp. 421-422 ◽  
Author(s):  
Larry Wos
Keyword(s):  

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