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：我们放宽了语义与目标导向通信系统中智能体间共享语言的约束，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，该框架能够对智能体使用不同语言时通信中引入的语义失真进行建模和度量。随后，我们提出了一种新的语义信道均衡方法，并通过数值评估证明了其有效性。