Uncertain conditionals and counterfactuals in (non-)causal settings

In G. Arienti, B. G. Bara & G. Sandini (eds.), Proceedings of the EuroAsianPacific Joint Conference on Cognitive Science (4th European Conference on Cognitive Science; 10th International Conference on Cognitive Science). CEUR Workshop Proceedings. pp. 651-656 (2015)
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Conditionals are basic for human reasoning. In our paper, we present two experiments, which for the first time systematically compare how people reason about indicative conditionals (Experiment 1) and counterfactual conditionals (Experiment 2) in causal and non-causal task settings (N = 80). The main result of both experiments is that conditional probability is the dominant response pattern and thus a key ingredient for modeling causal, indicative, and counterfactual conditionals. In the paper, we will give an overview of the main experimental results and discuss their relevance for understanding how people reason about conditionals



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Niki Pfeifer
Universität Regensburg

Citations of this work

Square of opposition under coherence.Niki Pfeifer & Giuseppe Sanfilippo - 2017 - In M. B. Ferraro, Alessandro Giordani, B. Vantaggi, M. Gagolewski, M. Á Gil, P. Grzegorzewski & O. Hryniewicz (eds.), Soft Methods for Data Science. Cham, Switzerland: pp. 407-414.

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References found in this work

Counterfactuals.David Lewis - 1973 - Foundations of Language 13 (1):145-151.
Counterfactuals.David Lewis - 1973 - Philosophy of Science 42 (3):341-344.

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