Experimental studies investigating logical reasoning performance show very high error rates of up to 80% and more. Previous research identified scalar inferences of the sentences of logical arguments as a major error source. We present new analytical tools to quantify the impact of scalar inferences on syllogistic reasoning. Our proposal builds on a new classification of Aristotelian syllogisms and a closely linked classification of reasoning behaviors/strategies. We argue that the variation in error rates across syllogistic reasoning tasks is in part due to individual variation: reasoners follow different reasoning strategies and these strategies play out differently for syllogisms of different classes.
|Original language||American English|
|Title of host publication||NICS 2018 - Proceedings of 2018 5th NAFOSTED Conference on Information and Computer Science|
|Editors||Ho Tu Bao, Le Anh Cuong, Ho Van Khuong, Bui Thu Lam|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|Number of pages||6|
|State||Published - 9 Jan 2019|
|Event||5th NAFOSTED Conference on Information and Computer Science, NICS 2018 - Ho Chi Minh City, Viet Nam|
Duration: 23 Nov 2018 → 24 Nov 2018
|Name||NICS 2018 - Proceedings of 2018 5th NAFOSTED Conference on Information and Computer Science|
|Conference||5th NAFOSTED Conference on Information and Computer Science, NICS 2018|
|City||Ho Chi Minh City|
|Period||23/11/18 → 24/11/18|
Bibliographical noteFunding Information:
This work was supported by grant 1926/14 from the Israel Science Foundation (Crnicˇ), grant 2093/16 of the Israel Science Foundation (Grodzinsky), and a post-doctoral grant from the Edmond and Lily Safra Center for Brain Sciences (Haida).
© 2018 IEEE.
- Individual variation
- Reasoning errors
- Scalar inferences