# SRAC-Agent — Self-Reputation Awareness Cooperation Agent

> SRAC-Agent is a Python 3 simulator for studying the influence of self-reputation awareness on agent behavior in evolutionary spatial Iterated Prisoner's Dilemma games, demonstrating how self-awareness of reputation promotes cooperation.

## Authors

- Name: Chung-Yuan Huang (黃崇源) (corresponding author)
- Title: Full Professor, Department of CSIE, Chang Gung University
- Email: gscott@mail.cgu.edu.tw
- ORCID: https://orcid.org/0000-0002-8680-6755
- Google Scholar: https://scholar.google.com/citations?user=0klfzfAAAAAJ&hl=en
- Homepage: https://canslab1.github.io/

- Name: Chun-Liang Lee
- Affiliation: National Chiao Tung University, Taiwan

## Software

- Name: SRAC-Agent
- Language: Python
- License: MIT
- GitHub: https://github.com/canslab1/SRAC-Agent
- README: https://canslab1.github.io/SRAC-Agent/

## Publication

Huang, C.-Y. & Lee, C.-L. (2014). Influences of Agents with a Self-Reputation Awareness Component in an Evolutionary Spatial IPD Game. PLOS ONE, 9(6), e99841.
DOI: https://doi.org/10.1371/journal.pone.0099841

## Lab

- CANS Lab (Complex Adaptive Networks and Systems Laboratory)
- Chang Gung University, Department of CSIE
- Website: https://canslab1.github.io/