Blame the Skilled. - Tobias Gerstenberg; Anastasia Ejova; David A. Lagnado (CogSci, 2011)

Rational Order Effects in Responsibility Attributions. - Tobias Gerstenberg; David A. Lagnado; Maarten Speekenbrink; Catherine Cheung (CogSci, 2011)

Beyond Outcomes: The Influence of Intentions and Deception. - Simeon Schaechtele; Tobias Gerstenberg; David A. Lagnado (CogSci, 2011)

Computational Models of Intuitive Physics. - Peter W. Battaglia; Tomer D. Ullman; Joshua B. Tenenbaum; Adam Sanborn; Kenneth D. Forbus; Tobias Gerstenberg; David A. Lagnado (CogSci, 2012)

Ping Pong in Church: Productive use of concepts in human probabilistic inference. - Tobias Gerstenberg; Noah D. Goodman (CogSci, 2012)

Noisy Newtons: Unifying process and dependency accounts of causal attribution. - Tobias Gerstenberg; Noah D. Goodman; David A. Lagnado; Joshua B. Tenenbaum (CogSci, 2012)

Probabilistic generative models for counterfactual reasoning and blame attribution. - John McCoy; Tomer D. Ullman; Andreas Stuhlmüller; Tobias Gerstenberg; Joshua B. Tenenbaum (CogSci, 2012)

Back on track: Backtracking in counterfactual reasoning. - Tobias Gerstenberg; Christos Bechlivanidis; David A. Lagnado (CogSci, 2013)

Causal Responsibility and Counterfactuals. - David A. Lagnado; Tobias Gerstenberg; Ro'i Zultan (Cogn. Sci., 2013)

The order of things: Inferring causal structure from temporal patterns. - Neil Bramley; Tobias Gerstenberg; David A. Lagnado (CogSci, 2014)

From counterfactual simulation to causal judgment. - Tobias Gerstenberg; Noah D. Goodman; David A. Lagnado; Joshua B. Tenenbaum (CogSci, 2014)

Wins above replacement: Responsibility attributions as counterfactual replacements. - Tobias Gerstenberg; Tomer D. Ullman; Max Kleiman-Weiner; David A. Lagnado; Joshua B. Tenenbaum (CogSci, 2014)

Causal Supersession. - Jonathan F. Kominsky; Jonathan Phillips; Tobias Gerstenberg; David A. Lagnado; Joshua Knobe (CogSci, 2014)

Go fishing! Responsibility judgments when cooperation breaks down. - Kelsey R. Allen; Julian Jara-Ettinger; Tobias Gerstenberg; Max Kleiman-Weiner; Joshua B. Tenenbaum (CogSci, 2015)

How, whether, why: Causal judgments as counterfactual contrasts. - Tobias Gerstenberg; Noah D. Goodman; David A. Lagnado; Joshua B. Tenenbaum (CogSci, 2015)

Responsibility judgments in voting scenarios. - Tobias Gerstenberg; Joseph Y. Halpern; Joshua B. Tenenbaum (CogSci, 2015)

Inference of Intention and Permissibility in Moral Decision Making. - Max Kleiman-Weiner; Tobias Gerstenberg; Sydney Levine; Joshua B. Tenenbaum (CogSci, 2015)

Natural science: Active learning in dynamic physical microworlds. - Neil Bramley; Tobias Gerstenberg; Joshua B. Tenenbaum (CogSci, 2016)

Understanding "almost": Empirical and computational studies of near misses. - Tobias Gerstenberg; Josh Tenenbaum 001 (CogSci, 2016)

Implicit measurement of motivated causal attribution. - Laura Niemi; Joshua K. Hartshorne; Tobias Gerstenberg; Liane Young (CogSci, 2016)

Causal learning from interventions and dynamics in continuous time. - Neil Bramley; Ralf Mayrhofer; Tobias Gerstenberg; David A. Lagnado (CogSci, 2017)

Faulty Towers: A hypothetical simulation model of physical support. - Tobias Gerstenberg; Liang Zhou; Kevin A. Smith 001; Joshua B. Tenenbaum (CogSci, 2017)

Eye movement-based probabilistic models for physical scene understanding. - Eghbal Hosseini; Eli Pollock; Tobias Gerstenberg (CogSci, 2017)

Marbles in Inaction: Counterfactual Simulation and Causation by Omission. - Simon Stephan; Pascale Willemsen; Tobias Gerstenberg (CogSci, 2017)

Physical problem solving: Joint planning with symbolic, geometric, and dynamic constraints. - Ilker Yildirim; Tobias Gerstenberg; Basil Saeed; Marc Toussaint; Josh Tenenbaum 001 (CogSci, 2017)

Tiptoeing around it: Inference from absence in potentially offensive speech. - Monica A. Gates; Tess L. Veuthey; Michael Henry Tessler; Kevin A. Smith 001; Tobias Gerstenberg; Laurie Bayet; Josh Tenenbaum 001 (CogSci, 2018)

What happened? Reconstructing the past through vision and sound. - Tobias Gerstenberg; Max H. Siegel; Josh Tenenbaum 001 (CogSci, 2018)

Moral Dynamics: A Computational Model of Moral Judgment. - Felix Sosa; Tomer D. Ullman; Samuel Gershman; Josh Tenenbaum 001; Tobias Gerstenberg (CogSci, 2018)

When circumstances change, update your pronouns. - Joshua K. Hartshorne; Mariela V. Jennings; Tobias Gerstenberg; Josh Tenenbaum 001 (CogSci, 2019)

The trajectory of counterfactual simulation in development. - Jonathan F. Kominsky; Tobias Gerstenberg; Madeline Pelz; Henrik Singmann; Mark Sheskin; Frank Keil (CogSci, 2019)

Explaining intuitive difficulty judgments by modeling physical effort and risk. - Ilker Yildirim; Basil Saeed; Grace Bennett-Pierre; Tobias Gerstenberg; Josh Tenenbaum 001; Hyowon Gweon (CogSci, 2019)

The language of causation. - Ari Beller; Erin Bennett; Tobias Gerstenberg (CogSci, 2020)

Whom will Granny thank? Thinking about what could have been informs children's inferences about relative helpfulness. - Sophie Bridgers; Chuyi Yang; Tobias Gerstenberg; Hyowon Gweon (CogSci, 2020)

Learning from explanations. - Lara Kirfel; Thomas Icard; Tobias Gerstenberg (CogSci, 2020)

Moral Values Reveal the Causality Implicit in Verb Meaning. - Laura Niemi; Joshua K. Hartshorne; Tobias Gerstenberg; Matthew Stanley; Liane Young (Cogn. Sci., 2020)

Eye-Tracking Multi-Modal Inference. - Ari Beller; Yingchen Xu; Tobias Gerstenberg (CogSci, 2021)

In Touch with Causation: Understanding the Impact of Kinesthetic Haptics on Causality. - Elyse D. Z. Chase; Phillip Wolff; Tobias Gerstenberg; Sean Follmer (CogSci, 2021)

Who went fishing? Inferences from social evaluations. - Zachary Davis; Kelsey R. Allen; Tobias Gerstenberg (CogSci, 2021)

The role of counterfactual reasoning in responsibility judgments. - Sarah A. Wu; Tobias Gerstenberg (CogSci, 2021)

A Causal Feeling: How Kinesthetic Haptics Affects Causal Perception. - Elyse D. Z. Chase; Phillip Wolff; Tobias Gerstenberg; Sean Follmer (WHC, 2021)

Do Humans Trust Advice More if it Comes from AI? An Analysis of Human-AI Interactions. - Kailas Vodrahalli; Tobias Gerstenberg; James Zou 001 (CoRR, 2021)

Do Humans Trust Advice More if it Comes from AI?: An Analysis of Human-AI Interactions. - Kailas Vodrahalli; Roxana Daneshjou; Tobias Gerstenberg; James Zou 001 (AIES, 2022)

Inferences from Disagreement. - Jamie Amemiya; Gail D. Heyman; Tobias Gerstenberg (CogSci, 2022)

Looking into the past: Eye-tracking mental simulation in physical inference. - Ari Beller; Yingchen Xu; Scott Linderman; Tobias Gerstenberg (CogSci, 2022)

Stop, children what's that sound? Multi-modal inference through mental simulation. - Joseph Outa; Xijia Zhou; Hyowon Gweon; Tobias Gerstenberg (CogSci, 2022)

That was close! A counterfactual simulation model of causal judgments about decisions. - Sarah A. Wu; Shruti Sridhar; Tobias Gerstenberg (CogSci, 2022)

Uncalibrated Models Can Improve Human-AI Collaboration. - Kailas Vodrahalli; Tobias Gerstenberg; James Y. Zou (NeurIPS, 2022)

A Semantics for Causing, Enabling, and Preventing Verbs Using Structural Causal Models. - Angela Cao; Atticus Geiger; Elisa Kreiss; Thomas Icard; Tobias Gerstenberg (CogSci, 2023)

Causal Reasoning Across Agents and Objects. - Bryan Gonzalez; Tobias Gerstenberg; Jonathan Phillips (CogSci, 2023)

Father, don't forgive them, for they could have known what they're doing. - Lara Kirfel; Xenia Bunk; Ro'i Zultan; Tobias Gerstenberg (CogSci, 2023)

Show and tell: Learning causal structures from observations and explanations. - Andrew Nam; Christopher Hughes; Thomas Icard; Tobias Gerstenberg (CogSci, 2023)

Teleology and generics. - David Rose; Siying Zhang; Qi Han; Tobias Gerstenberg (CogSci, 2023)

Learning what matters: Causal abstraction in human inference. - Steven M. Shin; Tobias Gerstenberg (CogSci, 2023)

A computational model of responsibility judgments from counterfactual simulations and intention inferences. - Sarah A. Wu; Shruti Sridhar; Tobias Gerstenberg (CogSci, 2023)

You are what you're for: Essentialist categorization in large language models. - Siying Zhang; Jingyuan Selena She; Tobias Gerstenberg; David Rose (CogSci, 2023)

Realism of Visual, Auditory, and Haptic Cues in Phenomenal Causality. - Elyse D. Z. Chase; Tobias Gerstenberg; Sean Follmer (WHC, 2023)

Understanding Social Reasoning in Language Models with Language Models. - Kanishk Gandhi; Jan-Philipp Fränken; Tobias Gerstenberg; Noah D. Goodman (NeurIPS, 2023)

MoCa: Measuring Human-Language Model Alignment on Causal and Moral Judgment Tasks. - Allen Nie; Yuhui Zhang; Atharva Amdekar; Chris Piech; Tatsunori B. Hashimoto; Tobias Gerstenberg (NeurIPS, 2023)

Social Contract AI: Aligning AI Assistants with Implicit Group Norms. - Jan-Philipp Fränken; Sam Kwok; Peixuan Ye; Kanishk Gandhi; Dilip Arumugam; Jared Moore; Alex Tamkin; Tobias Gerstenberg; Noah D. Goodman (CoRR, 2023)

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models. - Aarohi Srivastava; Abhinav Rastogi; Abhishek Rao; Abu Awal Md Shoeb; Abubakar Abid; Adam Fisch; Adam R. Brown; Adam Santoro; Aditya Gupta; Adrià Garriga-Alonso; Agnieszka Kluska; Aitor Lewkowycz; et al. (Trans. Mach. Learn. Res., 2023)

Explanations Can Reduce Overreliance on AI Systems During Decision-Making. - Helena Vasconcelos; Matthew Jörke; Madeleine Grunde-McLaughlin; Tobias Gerstenberg; Michael S. Bernstein; Ranjay Krishna (Proc. ACM Hum. Comput. Interact., 2023)

Anticipating the Risks and Benefits of Counterfactual World Simulation Models (Extended Abstract). - Lara Kirfel; Rob MacCoun; Thomas Icard; Tobias Gerstenberg (AIES (1), 2024)

Self-Supervised Alignment with Mutual Information: Learning to Follow Principles without Preference Labels. - Jan-Philipp Fränken; Eric Zelikman; Rafael Rafailov; Kanishk Gandhi; Tobias Gerstenberg; Noah D. Goodman (NeurIPS, 2024)

MARPLE: A Benchmark for Long-Horizon Inference. - Emily Jin; Zhuoyi Huang; Jan-Philipp Fränken; Weiyu Liu; Hannah Cha; Erik Brockbank; Sarah Wu; Ruohan Zhang; Jiajun Wu 001; Tobias Gerstenberg (NeurIPS, 2024)

STaR-GATE: Teaching Language Models to Ask Clarifying Questions. - Chinmaya Andukuri; Jan-Philipp Fränken; Tobias Gerstenberg; Noah D. Goodman (CoRR, 2024)

Procedural Dilemma Generation for Evaluating Moral Reasoning in Humans and Language Models. - Jan-Philipp Fränken; Kanishk Gandhi; Tori Qiu; Ayesha Khawaja; Noah D. Goodman; Tobias Gerstenberg (CoRR, 2024)

To Err is Robotic: Rapid Value-Based Trial-and-Error during Deployment. - Maximilian Du; Alexander Khazatsky; Tobias Gerstenberg; Chelsea Finn (CoRR, 2024)

Human-like Affective Cognition in Foundation Models. - Kanishk Gandhi; Zoe Lynch; Jan-Philipp Fränken; Kayla Patterson; Sharon Wambu; Tobias Gerstenberg; Desmond C. Ong; Noah D. Goodman (CoRR, 2024)

Imagining and building wise machines: The centrality of AI metacognition. - Samuel G. B. Johnson; Amir-Hossein Karimi; Yoshua Bengio; Nick Chater; Tobias Gerstenberg; Kate Larson; Sydney Levine; Melanie Mitchell; Iyad Rahwan; Bernhard Schölkopf; Igor Grossmann (CoRR, 2024)

A Communication-First Account of Explanation. - Jacqueline Harding; Tobias Gerstenberg; Thomas Icard (CoRR, 2025)

Causal-PIK: Causality-based Physical Reasoning with a Physics-Informed Kernel. - Carlota Parés-Morlans; Michelle Yi; Claire Chen; Sarah A. Wu; Rika Antonova; Tobias Gerstenberg; Jeannette Bohg (CoRR, 2025)

Modeling Open-World Cognition as On-Demand Synthesis of Probabilistic Models. - Lionel Wong; Katherine M. Collins; Lance Ying; Cedegao E. Zhang; Adrian Weller; Tobias Gerstenberg; Timothy O'Donnell; Alexander K. Lew; Jacob Andreas; Joshua B. Tenenbaum; Tyler Brooke-Wilson (CoRR, 2025)