Causal judgment in the wild. - Tadeg Quillien; Michael Barlev (CogSci, 2021)

A computational framework for social valuation inference - Tadeg Quillien (2021)

The logic of guesses: how people communicate probabilistic information. - Tadeg Quillien; Chris Lucas 001 (CogSci, 2022)

Dissecting causal asymmetries in inductive generalization. - Zeyu Xia; Bonan Zhao 001; Tadeg Quillien; Chris Lucas 001 (CogSci, 2022)

Causal Judgment in the Wild: Evidence from the 2020 U.S. Presidential Election. - Tadeg Quillien; Michael Barlev (Cogn. Sci., 2022)

Plural causes in causal judgment. - Can Konuk; Michael Eric Goodale; Tadeg Quillien; Salvador Mascarenhas (CogSci, 2023)

Uncertainty can explain apparent mistakes in causal reasoning. - Nicolas Marchant; Tadeg Quillien; Sergio E. Chaigneau (CogSci, 2023)

Causal inference shapes counterfactual plausibility. - Tadeg Quillien; Aba Szollosi; Neil R. Bramley; Chris Lucas 001 (CogSci, 2023)

How do instructions, examples, and testing shape task representations? - Aba Szollosi; Vlad Grigoras; Tadeg Quillien; Chris Lucas 001; Neil R. Bramley (CogSci, 2023)

A Context-Dependent Bayesian Account for Causal-Based Categorization. - Nicolas Marchant; Tadeg Quillien; Sergio E. Chaigneau (Cogn. Sci., 2023)

People Attribute Purpose to Autonomous Vehicles When Explaining Their Behavior. - Balint Gyevnar; Stephanie Droop; Tadeg Quillien (CoRR, 2024)

People Attribute Purpose to Autonomous Vehicles When Explaining Their Behavior: Insights from Cognitive Science for Explainable AI. - Balint Gyevnar; Stephanie Droop; Tadeg Quillien; Shay B. Cohen; Neil R. Bramley; Christopher G. Lucas; Stefano V. Albrecht (CHI, 2025)