We relax the constraint of a shared language between agents in a semantic and goal-oriented communication system to explore the effect of language mismatch in distributed task solving. We propose a mathematical framework, which provides a modelling and a measure of the semantic distortion introduced in the communication when agents use distinct languages. We then propose a new approach to semantic channel equalization with proven effectiveness through numerical evaluations.

翻译：在面向语义和目标的通信系统中，我们放宽了智能体间需共享语言的约束，以探究语言不匹配对分布式任务求解的影响。我们提出了一个数学框架，该框架能够建模并度量当智能体使用不同语言时通信中引入的语义失真。随后，我们提出了一种新的语义信道均衡方法，并通过数值评估验证了其有效性。