Code and data from papers
Code and data from published work are available next to the relevant publications.
R package for counterfactual models of causal judgment
The causaljudgment R package computes predictions for two computational models of causal judgment (the Necessity-Sufficiency and Counterfactual Effect Size models). See also the interactive app.
Note: I plan to enable cran installation in the (hopefully not too distant) future.
More computational cognitive science / causality research at Edinburgh
Cognition Computation and Development lab
Edinburgh cognitive science conference
This small informal workshop brings together cognitive scientists from the UK and beyond every year in June. We usually cap things off with a hike up Arthur’s Seat.
Tsinghua Logic Summer School
Lecture notes from the Causal Models course taught with Dr Bonan Zhao.
Agent-based models
These agent-based models of social evolution were developed as a pedagogical tool for the class Psy155: Evolution & Cognition at UCSB. The models are written in python; you can access the Jupyter Notebooks at the following GitHub repository, and also run them online with binder. Models include: