Logic, Probability, and Pragmatics in Syllogistic Reasoning

2022 ◽  
Author(s):  
Michael Henry Tessler ◽  
Joshua B. Tenenbaum ◽  
Noah D. Goodman
Keyword(s):  
Syllogistic Reasoning

Cognitive Load Mediates the Effect of Emotion on Analytical Thinking

2016 ◽  
Vol 63 (6) ◽  
pp. 343-350 ◽  
Author(s):  
Bastien Trémolière ◽  
Marie-Ève Gagnon ◽  
Isabelle Blanchette
Keyword(s):  
Cognitive Load ◽  
Secondary Task ◽  
Deleterious Effect ◽  
Detrimental Effect ◽  
Emotional Problems ◽  
Syllogistic Reasoning ◽  
Cognitive Resources ◽  
Potential Explanation ◽  
Cognitive Mechanism ◽  
Analytical Thinking

Abstract. Although the detrimental effect of emotion on reasoning has been evidenced many times, the cognitive mechanism underlying this effect remains unclear. In the present paper, we explore the cognitive load hypothesis as a potential explanation. In an experiment, participants solved syllogistic reasoning problems with either neutral or emotional contents. Participants were also presented with a secondary task, for which the difficult version requires the mobilization of cognitive resources to be correctly solved. Participants performed overall worse and took longer on emotional problems than on neutral problems. Performance on the secondary task, in the difficult version, was poorer when participants were reasoning about emotional, compared to neutral contents, consistent with the idea that processing emotion requires more cognitive resources. Taken together, the findings afford evidence that the deleterious effect of emotion on reasoning is mediated by cognitive load.

Fuzzy quantifiers in syllogistic reasoning.

1980 ◽  
Author(s):  
Per-Hakan S. Ekberg ◽  
Lola L. Lopes
Keyword(s):  
Syllogistic Reasoning

Working Memory and Syllogistic Reasoning

2000 ◽  
Author(s):  
David E. Copeland ◽  
Gabriel A. Radvansky
Keyword(s):  
Working Memory ◽  
Syllogistic Reasoning

Dyslexia and syllogistic reasoning in adults: Differences in strategy usage

Dyslexia ◽  
2021 ◽  
Author(s):  
Janette B. Jacobs ◽  
Elizabeth J. Newton ◽  
James H. Smith‐Spark
Keyword(s):  
Syllogistic Reasoning

Précis ofUnified theories of cognition

1992 ◽  
Vol 15 (3) ◽  
pp. 425-437 ◽  
Author(s):  
Allen Newell
Keyword(s):  
Cognitive Science ◽  
Full Range ◽  
Cognitive Architecture ◽  
Convincing Evidence ◽  
Syllogistic Reasoning ◽  
Human Cognition ◽  
Unified Theory ◽  
Theoretical Concepts ◽  
Wide Range ◽  
Unified Theories

AbstractThe book presents the case that cognitive science should turn its attention to developing theories of human cognition that cover the full range of human perceptual, cognitive, and action phenomena. Cognitive science has now produced a massive number of high-quality regularities with many microtheories that reveal important mechanisms. The need for integration is pressing and will continue to increase. Equally important, cognitive science now has the theoretical concepts and tools to support serious attempts at unified theories. The argument is made entirely by presenting an exemplar unified theory of cognition both to show what a real unified theory would be like and to provide convincing evidence that such theories are feasible. The exemplar is SOAR, a cognitive architecture, which is realized as a software system. After a detailed discussion of the architecture and its properties, with its relation to the constraints on cognition in the real world and to existing ideas in cognitive science, SOAR is used as theory for a wide range of cognitive phenomena: immediate responses (stimulus-response compatibility and the Sternberg phenomena); discrete motor skills (transcription typing); memory and learning (episodic memory and the acquisition of skill through practice); problem solving (cryptarithmetic puzzles and syllogistic reasoning); language (sentence verification and taking instructions); and development (transitions in the balance beam task). The treatments vary in depth and adequacy, but they clearly reveal a single, highly specific, operational theory that works over the entire range of human cognition, SOAR is presented as an exemplar unified theory, not as the sole candidate. Cognitive science is not ready yet for a single theory – there must be multiple attempts. But cognitive science must begin to work toward such unified theories.

Syllogistic reasoning reveals reduced bias in people with higher autistic-like traits from the general population

Autism ◽  
2018 ◽  
Vol 23 (5) ◽  
pp. 1311-1321 ◽  
Author(s):  
Marcus Lewton ◽  
Chris Ashwin ◽  
Mark Brosnan
Keyword(s):  
General Population ◽  
Syllogistic Reasoning
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