Artificial empathy is key in enabling robotic agents to adapt, co- operate, and share knowledge in multi-agent systems. This study aims to develop an artificially empathetic decision-making framework implemented in Unity software to enhance robotic swarm interactions, leveraging prin- ciples from cognitive science, fuzzy logic, and imprecise cognition. The re- search focuses on improving decision-making in uncertain environments and exploring the benefits of empathy-driven collaboration over traditional ego- istic approaches.