Code and Datasets for "A simple mechanism for collective decision-making in the absence of payoff information"

This repository contains R code and datasets used for analyses in the paper: "A simple mechanism for collective decision-making in the absence of payoff information" Published in Proceedings of the National Academy of Sciences of the United States of America (PNAS) in 2023 by Daniele Carlesso, Justin M. McNab, Christopher J. Lustri, Simon Garnier, and Chris. R. Reid. ✓ Ensure that all files are in the same folder for the code to run properly. ✓ the repository also includes a summary HTML file for easier visualisation. Datasets: • chain_growth.csv • cumsum_df.csv • growth_data.csv • GrowthMP.csv • JL_chaingrowth.csv • joining_distance.csv • leave_10.csv • leaving_positions.csv • timespent.csv • traffic_mean.csv Code: • Code.Rmd Markdown summary: • Code.html