Preferred Inferences in Causal Relational Reasoning: Counting Model Operations

Marco Ragni, Stephanie Schwenke, Christine Otieno

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Abstrakt

Interpreting causal relations plays an important role in every- day life, for example in scientific inquiries and text comprehension. Errors in causal reasoning can be a recipe for disaster. Despite vast literature on the psychology of human causal reasoning, there are few investigations into preferred inferences in relational three-term problems. Based on a previous formal investigation about relevant causal relations we develop a cognitive modeling approach with mental models. The key principle for this approach proves to be the prediction of preferred inferences by model operations and the process of sub model integration. Subsequent experiments test preferred inferences, the number of model operations, and if concrete or generic problems make a difference in causal reasoning performance. Implications of the model are discussed.
OriginalsprogEngelsk
TitelProceedings of the 37th Annual Conference of the Cognitive Science Society
RedaktørerD. C. Noelle, R. Dale, A. S. Warlaumont, J. Yoshimi, T. Matlock, C. D. Jennings, P. P. Maglio
ForlagCognitive Science Society
Publikationsdato2015
Sider1937-1942
ISBN (Trykt)978-0-9911967-2-2
StatusUdgivet - 2015
Udgivet eksterntJa
Begivenhed37th Annual Conference of the Cognitive Science Society - Pasadena, USA
Varighed: 22. jul. 201525. jul. 2015

Konference

Konference37th Annual Conference of the Cognitive Science Society
LandUSA
ByPasadena
Periode22/07/201525/07/2015

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