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Ruth M. J. Byrne
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- affiliation: Trinity College, University of Dublin, Ireland
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2020 – today
- 2024
- [j8]Rick Dale, Ruth M. J. Byrne, Emma Cohen, Ophelia Deroy, Samuel J. Gershman, Janet H. Hsiao, Ping Li, Padraic Monaghan, David C. Noelle, Iris van Rooij, Priti Shah, Michael J. Spivey, Sashank Varma:
Introduction to Progress and Puzzles of Cognitive Science. Cogn. Sci. 48(7) (2024) - [j7]Philip N. Johnson-Laird, Ruth M. J. Byrne, Sangeet S. Khemlani:
Models of Possibilities Instead of Logic as the Basis of Human Reasoning. Minds Mach. 34(3): 19 (2024) - [j6]Greta Warren, Ruth M. J. Byrne, Mark T. Keane:
Categorical and Continuous Features in Counterfactual Explanations of AI Systems. ACM Trans. Interact. Intell. Syst. 14(4): 28:1-28:37 (2024) - 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 - [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) - 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 - 2020
- [j5]Orlando Espino, Ruth M. J. Byrne:
The Suppression of Inferences From Counterfactual Conditionals. Cogn. Sci. 44(4) (2020)
2010 – 2019
- 2019
- [c5]Ruth M. J. Byrne:
Counterfactuals in Explainable Artificial Intelligence (XAI): Evidence from Human Reasoning. IJCAI 2019: 6276-6282 - 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) - [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] - 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
1990 – 1999
- 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) - 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
Coauthor Index
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