The field of emergent communication within multi-agent systems examines how autonomous agents can independently develop communication strategies, without explicit programming, and adapt them to varied environments. However, few studies have focused on the interpretability of emergent languages. The research exposed in this paper proposes an Automated Semantic Rules Detection (ASRD) algorithm, which extracts relevant patterns in messages exchanged by agents trained with two different datasets on the Lewis Game, which is often studied in the context of emergent communication. ASRD helps at the interpretation of the emergent communication by relating the extracted patterns to specific attributes of the input data, thereby considerably simplifying subsequent analysis.

翻译：多智能体系统中的涌现通信领域研究自主智能体如何在没有明确编程的情况下独立发展通信策略，并使其适应不同环境。然而，很少有研究关注涌现语言的可解释性。本文提出的研究设计了一种自动语义规则检测（ASRD）算法，该算法从在Lewis Game（该博弈常在涌现通信背景下被研究）上使用两个不同数据集训练的智能体所交换的消息中提取相关模式。ASRD通过将提取的模式与输入数据的特定属性相关联，有助于解释涌现通信，从而显著简化后续分析。