Concepts and Causality Lab

Code and data from papers

Code and data from published work are available next to the relevant publications. If a link is broken, or you have trouble interpreting the data / reproducing an analysis / running a model, please feel free to reach out to tadeg.quillien AT gmail.com.

More computational cognitive science / causality research at Edinburgh

Bramley lab

Lucas lab

Dan Lassiter

Cognition Computation and Development lab

Zhao lab (opens January 2025)

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:

hawk/dove

kin selection

kin recognition

group selection