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ORCIDRuth M. J. Byrne
Person information
- affiliation: Trinity College, University of Dublin, Ireland
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Books and Theses
- 1991
[b1]Philip N. Johnson-Laird, Ruth M. J. Byrne:
Deduction. Essays in cognitive psychology, Lawrence Erlbaum 1991, ISBN 978-0-86377-148-4, pp. I-XII, 1-243
Journal Articles
- 2020
- [j5]Orlando Espino
, Ruth M. J. Byrne:
The Suppression of Inferences From Counterfactual Conditionals. Cogn. Sci. 44(4) (2020) - 2018
- [j4]Sangeet S. Khemlani, Ruth M. J. Byrne, Philip N. Johnson-Laird:
Facts and Possibilities: A Model-Based Theory of Sentential Reasoning. Cogn. Sci. 42(6): 1887-1924 (2018) - [j3]Orlando Espino, Ruth M. J. Byrne:
Thinking About the Opposite of What Is Said: Counterfactual Conditionals and Symbolic or Alternate Simulations of Negation. Cogn. Sci. 42(8): 2459-2501 (2018) - 1999
- [j2]Philip N. Johnson-Laird, Ruth M. J. Byrne:
Models Rule, OK? A Reply to Fetzer. Minds Mach. 9(1): 111-118 (1999) - 1998
- [j1]Ruth M. J. Byrne:
Spatial Mental Models in Counterfactual Thinking About What Might Have Been / Räumliche mentale Modelle beim kontrafaktischen Denken über das, was sein hätte können. Kognitionswissenschaft 7(1): 19-26 (1998)
Conference and Workshop Papers
- 2023
- [c10]Ruth M. J. Byrne:
Good Explanations in Explainable Artificial Intelligence (XAI): Evidence from Human Explanatory Reasoning. IJCAI 2023: 6536-6544 - [c9]Greta Warren, Ruth M. J. Byrne, Mark T. Keane:
Categorical and Continuous Features in Counterfactual Explanations of AI Systems. IUI 2023: 171-187 - 2022
- [c8]Xinyue Dai, Mark T. Keane, Laurence Shalloo, Elodie Ruelle, Ruth M. J. Byrne:
Counterfactual Explanations for Prediction and Diagnosis in XAI. AIES 2022: 215-226 - [c7]Greta Warren, Mark T. Keane, Ruth M. J. Byrne:
Features of Explainability: How users understand counterfactual and causal explanations for categorical and continuous features in XAI. CAKR@IJCAI 2022 - 2021
- [c6]Jörg Cassens, Lorenz Habenicht, Julian Blohm, Rebekah Wegener, Joanna Korman, Sangeet Khemlani, Giorgio Gronchi, Ruth M. J. Byrne, Greta Warren, Molly S. Quinn, Mark T. Keane:
Explanation in Human Thinking. CogSci 2021 - 2019
- [c5]Ruth M. J. Byrne:
Counterfactuals in Explainable Artificial Intelligence (XAI): Evidence from Human Reasoning. IJCAI 2019: 6276-6282 - 2017
- [c4]Isabel Orenes, Juan Antonio Garcia-Madruga, Isabel Gómez-Veiga, Orlando Espino, Ruth Byrne:
Tracking the temporal course of counterfactual understanding. CogSci 2017 - [c3]Shane Timmons, Ruth Byrne:
Counterfactual thoughts and judgments about morally good actions. CogSci 2017 - 2013
- [c2]Eoin Gubbins, Ruth M. J. Byrne, Phil Johnson-Laird:
Consistency in Degrees of Morality. CogSci 2013 - [c1]Benignus Ndubuisi, Ruth M. J. Byrne:
Intentionality and choice. CogSci 2013
Editorship
- 2018
- [e1]Rob Brennan, Jöran Beel, Ruth Byrne, Jeremy Debattista, Ademar Crotti Junior:
Proceedings for the 26th AIAI Irish Conference on Artificial Intelligence and Cognitive Science Trinity College Dublin, Dublin, Ireland, December 6-7th, 2018. CEUR Workshop Proceedings 2259, CEUR-WS.org 2018 [contents]
Informal and Other Publications
- 2022
- [i1]Greta Warren, Mark T. Keane, Ruth M. J. Byrne:
Features of Explainability: How users understand counterfactual and causal explanations for categorical and continuous features in XAI. CoRR abs/2204.10152 (2022)
Coauthor Index
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