Collaboration in multi-agent autonomous systems is critical to increase performance while ensuring safety. However, due to heterogeneity of their features in, e.g., perception qualities, some autonomous systems have to be considered more trustworthy than others when contributing to collaboratively build a common environmental model, especially under uncertainty. In this paper, we introduce the idea of increasing the reliability of autonomous systems by relying on collective intelligence. We borrow concepts from social epistemology to exploit individual characteristics of autonomous systems, and define and formalize at design rules for collective reasoning to achieve collaboratively increased safety, trustworthiness and good decision making.

翻译：多智能体自主系统中的协作对于提升性能并确保安全性至关重要。然而，由于各系统在感知质量等特征上存在异质性，在协作构建共同环境模型时，尤其在不确定性条件下，某些自主系统必须被认为比其他系统更值得信赖。本文提出通过依赖集体智能来提高自主系统可靠性的思路。我们借鉴社会认识论中的概念，利用自主系统的个体特征，在设计层面定义并形式化集体推理规则，以实现协作提升的安全性、可信赖性及良好决策能力。