Human-inspired computational fairness

  title={Human-inspired computational fairness},
  author={Steven de Jong and Karl Tuyls},
  journal={Autonomous Agents and Multi-Agent Systems},
In many common tasks for multi-agent systems, assuming individually rational agents leads to inferior solutions. Numerous researchers found that fairness needs to be considered in addition to individual reward, and proposed valuable computational models of fairness. In this paper, we argue that there are two opportunities for improvement. First, existing… CONTINUE READING