Causality in Cognition Lab (cicl-stanford)

Causality in Cognition Lab

cicl-stanford

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The Causality in Cognition Lab at Stanford University studies the role of causality in our understanding of the world, and of each other.

Location:Stanford

Home Page:http://cicl.stanford.edu/

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Causality in Cognition Lab's repositories

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csm

Contains all materials for the paper "A counterfactual simulation model of causal judgment".

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moca

Language model evaluation for morality and causality

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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

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causal_language_public

In this project, we study the mapping between events in the world and the causal expressions people use to describe them.

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causal_language

This repository contains materials for the paper "A counterfactual simulation model of causal language" by Ari Beller and Tobias Gerstenberg.

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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)

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homepage

Our lab homepage

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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)

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counterfactual_hypothetical

Materials for the paper "What would have happened? Counterfactuals, hypotheticals, and causal judgments"

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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.

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responsibility_replacement

Materials for the paper "If not me, then who? Responsibility and replacement" by Sarah A. Wu & Tobias Gerstenberg

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whodunnit_multimodal_inference

Materials for the paper "Whodunnit? Inferring what happened from multimodal evidence" by Sarah A. Wu*, Erik Brockbank*, et al. (CogSci 2024)

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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.

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knitr-tips

Knitr style tips

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making_a_difference

Materials of the paper "Making a difference: Criticality in groups".

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responsibility_sequential

Materials for the paper "Towards a computational model of responsibility judgments in sequential human-AI collaboration", accepted at CogSci 2024

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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

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abstract_causation

Materials for the paper "Learning what matters: Causal abstraction in human inference" by Steven Shin and Tobias Gerstenberg.

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action_abstraction_cogsci2024

Public repository for code and analyses used in the 2024 CogSci Proceedings paper

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explanation_intervention

This is the github repository for the CogSci 2024 proceedings paper "Do as I explain: Explanations communicate optimal interventions"

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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)

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omission

Project investigating how people make causal judgments about omissions.

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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

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teleology_generics

Materials for the paper "Teleology and generics," by David Rose, Siying Zhang, Qi Han and Tobias Gerstenberg.

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tracking_inference

Public repo for the Plinko tracking project

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