Indirect Reciprocity with Collective Reputation: Simulation and Calculation Code from Indirect reciprocity in the public goods game with collective reputations

This compressed folder contains the custom MATLAB scripts and functions used to simulate indirect reciprocity within a public goods game under a collective reputation framework. It includes default parameter settings (default.m, etc.), main processing codes (reputation_main.m, etc.), iteration functions (repevol2cr.m, etc.) for strategy and/or assessment-criterion evolution, data-processing scripts (tool_code.m, etc.), and auxiliary files (e.g., inner_game.m, outer_eval.m) needed for calculating payoffs, fixation probabilities, and cooperation rates. The folder also provides raw data for certain population compositions (game_pop_structure) and custom saving functions (parsave). Detailed instructions on how to run each code block, as well as information on parameter choices, can be found in the repository’s readme file.