Causality in Cognition Lab
The Causality in Cognition Lab at Stanford University studies the role of causality in our understanding of the world, and of each other.
Stanford
Pinned Repositories
causal_language
This repository contains materials for the paper "A counterfactual simulation model of causal language" by Ari Beller and Tobias Gerstenberg.
causal_language_public
In this project, we study the mapping between events in the world and the causal expressions people use to describe them.
counterfactual_agents
Materials for the paper "A computational model of responsibility judgments from counterfactual simulations and intention inferences" by Sarah A. Wu, Shruti Sridhar, & Tobias Gerstenberg (CogSci 2023)
csm
Contains all materials for the paper "A counterfactual simulation model of causal judgment".
homepage
Our lab homepage
inference_from_explanation
Materials for the paper "Inference from Explanation" by Lara Kirfel, Thomas Icard, and Tobias Gerstenberg
mental_jenga
Materials of the paper "Mental Jenga - A counterfactual simulation model of physical support" by Liang Zhou, Kevin A. Smith, Joshua B. Tenenbaum & Tobias Gerstenberg
moca
Language model evaluation for morality and causality
moral_dynamics
Materials for the paper "Moral Dynamics: Grounding Moral Judgment in Intuitive Physics and Intuitive Psychology"
procedural-evals-tom
Causality in Cognition Lab's Repositories
cicl-stanford/procedural-evals-tom
cicl-stanford/csm
Contains all materials for the paper "A counterfactual simulation model of causal judgment".
cicl-stanford/moca
Language model evaluation for morality and causality
cicl-stanford/inference_from_explanation
Materials for the paper "Inference from Explanation" by Lara Kirfel, Thomas Icard, and Tobias Gerstenberg
cicl-stanford/mental_jenga
Materials of the paper "Mental Jenga - A counterfactual simulation model of physical support" by Liang Zhou, Kevin A. Smith, Joshua B. Tenenbaum & Tobias Gerstenberg
cicl-stanford/causal_language_public
In this project, we study the mapping between events in the world and the causal expressions people use to describe them.
cicl-stanford/causal_language
This repository contains materials for the paper "A counterfactual simulation model of causal language" by Ari Beller and Tobias Gerstenberg.
cicl-stanford/counterfactual_agents
Materials for the paper "A computational model of responsibility judgments from counterfactual simulations and intention inferences" by Sarah A. Wu, Shruti Sridhar, & Tobias Gerstenberg (CogSci 2023)
cicl-stanford/homepage
Our lab homepage
cicl-stanford/counterfactual_decisions
Materials for "That was close! A counterfactual simulation model of causal judgments about decisions" by Sarah A. Wu, Shruti Sridhar, & Tobias Gerstenberg (CogSci 2022)
cicl-stanford/counterfactual_hypothetical
Materials for the paper "What would have happened? Counterfactuals, hypotheticals, and causal judgments"
cicl-stanford/essentialism_in_llms
Materials for the paper "You are what you're for: Essentialist categorization in large language models" by Siying Zhang, Jingyuan She, Tobias Gerstenberg and David Rose.
cicl-stanford/responsibility_replacement
Materials for the paper "If not me, then who? Responsibility and replacement" by Sarah A. Wu & Tobias Gerstenberg
cicl-stanford/whodunnit_multimodal_inference
Materials for the paper "Whodunnit? Inferring what happened from multimodal evidence" by Sarah A. Wu*, Erik Brockbank*, et al. (CogSci 2024)
cicl-stanford/causative-verbs
cicl-stanford/children_disagree
This repository contains the study materials, data, analyses, and figures for the paper "Children use disagreement to infer what happened" by Jamie Amemiya, Gail D. Heyman, and Tobias Gerstenberg.
cicl-stanford/knitr-tips
Knitr style tips
cicl-stanford/making_a_difference
Materials of the paper "Making a difference: Criticality in groups".
cicl-stanford/moral-evals
cicl-stanford/responsibility_sequential
Materials for the paper "Towards a computational model of responsibility judgments in sequential human-AI collaboration", accepted at CogSci 2024
cicl-stanford/whats-that-sound
Materials of the paper "Stop, children what's that sound? Multi-modal inference through mental simulation" by Joseph Outa, Xi Jia Zhou, Hyowon Gweon and Tobias Gerstenberg
cicl-stanford/abstract_causation
Materials for the paper "Learning what matters: Causal abstraction in human inference" by Steven Shin and Tobias Gerstenberg.
cicl-stanford/action_abstraction_cogsci2024
Public repository for code and analyses used in the 2024 CogSci Proceedings paper
cicl-stanford/explanation_intervention
This is the github repository for the CogSci 2024 proceedings paper "Do as I explain: Explanations communicate optimal interventions"
cicl-stanford/father-dont-forgive
Materials for "Father, don't forgive them, for they could have known what they're doing" by Lara Kirfel, Xenia Bunk, Ro'i Zultan and Tobias Gerstenberg (CogSci 2023)
cicl-stanford/omission
Project investigating how people make causal judgments about omissions.
cicl-stanford/show_and_tell
Materials for the paper "Show and tell: learning causal structures from observations and explanations" by Andrew Nam, Christopher Hughes, Thomas Icard, and Tobias Gerstenberg
cicl-stanford/teleological_properties
cicl-stanford/teleology_generics
Materials for the paper "Teleology and generics," by David Rose, Siying Zhang, Qi Han and Tobias Gerstenberg.
cicl-stanford/tracking_inference
Public repo for the Plinko tracking project