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Ruth M. J. Byrne

Researcher at Trinity College, Dublin

Publications -  125
Citations -  6257

Ruth M. J. Byrne is an academic researcher from Trinity College, Dublin. The author has contributed to research in topics: Counterfactual thinking & Counterfactual conditional. The author has an hindex of 33, co-authored 118 publications receiving 5718 citations. Previous affiliations of Ruth M. J. Byrne include Dublin City University & University College Dublin.

Papers
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Book

Human Reasoning: The Psychology Of Deduction

TL;DR: Conditional reasoning theories of propositional reasoning - rules versus models the Wason selection task disjunctive reasoning relational inferences syllogistic reasoning reasoning with quantifiers - beyond syllogisms.
Journal ArticleDOI

Conditionals: A Theory of Meaning, Pragmatics, and Inference

TL;DR: In a celebrated trial, Harr as discussed by the authors elicited the following information from an expert witness about the source of a chemical pollutant trichloroethylene (TCE): If the TCE in the wells had been drawn from out of the river, then there would be TCE on the riverbed. But there was no TCE at all.
Book

The Rational Imagination: How People Create Alternatives to Reality

TL;DR: The Rational Imagination is argued that imaginative thought is more rational than scientists have imagined and counterfactual thoughts are organised along the same principles as rational thought.
Journal ArticleDOI

Suppressing valid inferences with conditionals

Ruth M. J. Byrne
- 01 Feb 1989 - 
TL;DR: Three experiments are reported which show that in certain contexts subjects reject instances of the valid modus ponens and modus tollens inference form in conditional arguments and suggest that the interpretation of premises plays an even more central role in reasoning than has previously been admitted.
Journal ArticleDOI

Propositional reasoning by model.

TL;DR: The theory proposes that reasoning is a semantic process based on mental models that assumes that people are able to maintain models of only a limited number of alternative states of affairs, and they accordingly use models representing as much information as possible in an implicit way.