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/moral_dynamics
Materials for the paper "Moral Dynamics: Grounding Moral Judgment in Intuitive Physics and Intuitive Psychology"
cicl-stanford/inference_from_social_evaluations
How do people draw inferences from social evaluations such as judgments of blame?
cicl-stanford/voting_responsibility
How do people attribute responsibility in voting scenarios?