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.

本压缩文件夹包含用于在集体声誉框架（collective reputation framework）下模拟公共物品博弈（public goods game）中间接互惠（indirect reciprocity）行为的自定义MATLAB脚本与函数。其内容涵盖默认参数设置脚本（default.m等）、核心处理代码（reputation_main.m等）、用于策略及/或评估准则演化的迭代函数（repevol2cr.m等）、数据处理脚本（tool_code.m等），以及用于计算收益（payoffs）、固定概率（fixation probabilities）与合作率（cooperation rates）所需的辅助文件（如inner_game.m、outer_eval.m）。本文件夹还提供了特定种群结构（game_pop_structure）的原始数据，以及自定义保存函数parsave。有关各代码块的运行方法及参数选择的详细说明，可查阅本仓库的README文件。