Feature Centrality and Conceptual Coherence. - Steven A. Sloman; Bradley C. Love; Woo-Kyoung Ahn (Cogn. Sci., 1998)

Categorization versus similarity: the case of container names. - Steven A. Sloman; Barbara C. Malt; Arthur Fridman (Similarity and Categorization, 2001)

Feature centrality and property induction. - Constantinos Hadjichristidis; Steven A. Sloman; Rosemary Stevenson; David Over (Cogn. Sci., 2004)

The HIPE Theory of Function. - Lawrence W. Barsalou; Steven A. Sloman; Sergio E. Chaigneau (Functional Features in Language and Space, 2005)

Do We "do"? - Steven A. Sloman; David A. Lagnado (Cogn. Sci., 2005)

A Causal Model Theory of the Meaning of Cause, Enable, and Prevent. - Steven A. Sloman; Aron K. Barbey; Jared M. Hotaling (Cogn. Sci., 2009)

Causality in Solving Economic Problems. - A. Emanuel Robinson; Steven A. Sloman; York Hagmayer; Christopher K. Hertzog (J. Probl. Solving, 2010)

Effects of unrecognized hints and metacognitive control in insight problem solving. - Masasi Hattori; Steven A. Sloman; Ryo Orita (CogSci, 2011)

On Counterfactuals and Cognitive Science: Rumlhart Prize Symposium in Honor of Judea Pearl. - Steven A. Sloman; Judea Pearl; Nick Chater; Lance J. Rips; Jim Joyce; Stefan Kaufmann 001 (CogSci, 2011)

Human representation and reasoning about complex causal systems. - Steven A. Sloman; Philip M. Fernbach (Inf. Knowl. Syst. Manag., 2011)

Non-Bayesian Inference: Causal Structure Trumps Correlation. - Bénédicte Bes; Steven A. Sloman; Christopher G. Lucas; Eric Raufaste (Cogn. Sci., 2012)

The Causal Structure of Utility Conditionals. - Jean-François Bonnefon; Steven A. Sloman (Cogn. Sci., 2013)

Counterfactuals and Causal Models: Introduction to the Special Issue. - Steven A. Sloman (Cogn. Sci., 2013)

Causal interactions. - Adam Darlow; Gideon Goldin; Steven A. Sloman (CHI, 2014)

Conditions for Backtracking with Counterfactual Conditionals. - Jungho Han; William Jimenez-Leal; Steven A. Sloman (CogSci, 2014)

Comments on Quantum Probability Theory. - Steven A. Sloman (Top. Cogn. Sci., 2014)

Analytical Thinking Predicts Less Teleological Reasoning and Religious Belief. - Jeffrey C. Zemla; Samantha Steiner; Steven A. Sloman (CogSci, 2016)

Reasons and the "Motivated Reasoning Effect". - Cristina Ballarini; Steven A. Sloman (CogSci, 2017)

Known Unknowns: A Critical Determinant of Confidence and Calibration. - Daniel J. Walters; Philip M. Fernbach; Craig R. Fox; Steven A. Sloman (Manag. Sci., 2017)

Explaining without Information: The Role of Label Entrenchment. - Babak Hemmatian; Steven A. Sloman (CogSci, 2019)

Consequential Consensus: A Decade of Online Discourse about Same-sex Marriage. - Babak Hemmatian; Sabina Sloman; Uriel CohenPriva; Steven A. Sloman (CogSci, 2019)

Evidence for a Community of Knowledge Across Culture. - Mae Fullerton; Steven A. Sloman; Szeyu Chan (CogSci, 2020)

What Gives a Diagnostic Label Value? Common Use Over Informativeness. - Babak Hemmatian; Szeyu Chan; Steven A. Sloman (CogSci, 2020)

The Anatomy of Discourse: Linguistic Predictors of Narrative and Argument Quality. - Sheridan Feucht; Babak Hemmatian; Rachel Avram; Alexander Wey; Kate Spitalnic; Muskaan Garg; Carsten Eickhoff; Ellie Pavlick; Björn Sandstede; Steven A. Sloman (CogSci, 2021)

Narratives of Consensus: a Decade of Reddit Discourse on Marijuana Legalization. - Babak Hemmatian; Nathaniel Goodman; Jonathan Lee; Carsten Eickhoff; Steven A. Sloman (CogSci, 2021)

Can computers tell a story? Discourse Structure in Computer-generated Text and Humans. - Alexander Wey; Babak Hemmatian; Rachel Avram; Sheridan Feucht; Kate Spitalnic; Muskaan Garg; Carsten Eickhoff; Ellie Pavlick; Björn Sandstede; Steven A. Sloman (CogSci, 2021)

Using Human-Guided Causal Knowledge for More Generalized Robot Task Planning. - Semir Tatlidil; Yanqi Liu; Emily Sheetz; R. Iris Bahar; Steven A. Sloman (CoRR, 2021)

A Novel Corpus of Discourse Structure in Humans and Computers. - Babak Hemmatian; Sheridan Feucht; Rachel Avram; Alexander Wey; Muskaan Garg; Kate Spitalnic; Carsten Eickhoff; Ellie Pavlick; Björn Sandstede; Steven A. Sloman (CoRR, 2021)

Causal Bayes Nets as Psychological Theory. - Steven A. Sloman (Probabilistic and Causal Inference, 2022)

Problematic and Persistent Post-Secondary Program Performance Preconceptions. - Shriram Krishnamurthi; Anika Bahl; Benjamin Lee; Steven A. Sloman (Koli Calling, 2022)

Gathering Strength, Gathering Storms: The One Hundred Year Study on Artificial Intelligence (AI100) 2021 Study Panel Report. - Michael L. Littman; Ifeoma Ajunwa; Guy Berger; Craig Boutilier; Morgan Currie; Finale Doshi-Velez; Gillian K. Hadfield; Michael C. Horowitz; Charles Isbell; Hiroaki Kitano; Karen Levy; Terah Lyons; et al. (CoRR, 2022)

How Do We Believe? - Steven A. Sloman (Top. Cogn. Sci., 2022)

The science of fake news. - David M. J. Lazer; Matthew A. Baum; Yochai Benkler; Adam J. Berinsky; Kelly M. Greenhill; Filippo Menczer; Miriam J. Metzger; Brendan Nyhan; Gordon Pennycook; David M. Rothschild; Michael Schudson; Steven A. Sloman; et al. (CoRR, 2023)

Invited: Using Causal Information to Enable More Efficient Robot Operation. - Semanti Basu; Semir Tatlidil; Moon Hwan Kim; Steven A. Sloman; R. Iris Bahar (DAC, 2024)

Radical Collective Intelligence and the Reimagining of Cognitive Science. - Nathaniel Rabb; Steven A. Sloman (Top. Cogn. Sci., 2024)