Deduction. - Philip N. Johnson-Laird; Ruth M. J. Byrne (Lawrence Erlbaum, 1991)

Spatial Mental Models in Counterfactual Thinking About What Might Have Been / Räumliche mentale Modelle beim kontrafaktischen Denken über das, was sein hätte können. - Ruth M. J. Byrne (Kognitionswissenschaft, 1998)

Models Rule, OK? A Reply to Fetzer. - Philip N. Johnson-Laird; Ruth M. J. Byrne (Minds Mach., 1999)

Consistency in Degrees of Morality. - Eoin Gubbins; Ruth M. J. Byrne; Phil Johnson-Laird (CogSci, 2013)

Intentionality and choice. - Benignus Ndubuisi; Ruth M. J. Byrne (CogSci, 2013)

Tracking the temporal course of counterfactual understanding. - Isabel Orenes; Juan Antonio Garcia-Madruga; Isabel Gómez-Veiga; Orlando Espino; Ruth Byrne (CogSci, 2017)

Counterfactual thoughts and judgments about morally good actions. - Shane Timmons; Ruth Byrne (CogSci, 2017)

Thinking About the Opposite of What Is Said: Counterfactual Conditionals and Symbolic or Alternate Simulations of Negation. - Orlando Espino; Ruth M. J. Byrne (Cogn. Sci., 2018)

Facts and Possibilities: A Model-Based Theory of Sentential Reasoning. - Sangeet S. Khemlani; Ruth M. J. Byrne; Philip N. Johnson-Laird (Cogn. Sci., 2018)

Counterfactuals in Explainable Artificial Intelligence (XAI): Evidence from Human Reasoning. - Ruth M. J. Byrne (IJCAI, 2019)

The Suppression of Inferences From Counterfactual Conditionals. - Orlando Espino; Ruth M. J. Byrne (Cogn. Sci., 2020)

Explanation in Human Thinking. - 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 (CogSci, 2021)

Counterfactual Explanations for Prediction and Diagnosis in XAI. - Xinyue Dai; Mark T. Keane; Laurence Shalloo; Elodie Ruelle; Ruth M. J. Byrne (AIES, 2022)

Features of Explainability: How users understand counterfactual and causal explanations for categorical and continuous features in XAI. - Greta Warren; Mark T. Keane; Ruth M. J. Byrne (CAKR@IJCAI, 2022)

Good Explanations in Explainable Artificial Intelligence (XAI): Evidence from Human Explanatory Reasoning. - Ruth M. J. Byrne (IJCAI, 2023)

Introduction to Progress and Puzzles of Cognitive Science. - Rick Dale; Ruth M. J. Byrne; Emma Cohen; Ophelia Deroy; Samuel J. Gershman; Janet H. Hsiao; Ping Li 026; Padraic Monaghan; David C. Noelle; Iris van Rooij; Priti Shah; Michael J. Spivey; et al. (Cogn. Sci., 2024)

Models of Possibilities Instead of Logic as the Basis of Human Reasoning. - Philip N. Johnson-Laird; Ruth M. J. Byrne; Sangeet S. Khemlani (Minds Mach., 2024)

Categorical and Continuous Features in Counterfactual Explanations of AI Systems. - Greta Warren; Ruth M. J. Byrne; Mark T. Keane (ACM Trans. Interact. Intell. Syst., 2024)