This paper integrates two different ways to face the emergence of communication systems. First, information-theoretic models argue for the emergence of Zipfian properties based on the minimization of communicative energy, combining speaker and hearer efforts. Second, decentralized agent-based models focus on the emergence of a shared communication system in a population of individuals. The main aim here is to explore how a decentralized agent-based model of language formation can exhibit purely from local speaker-hearer interactions the minimization of communicative energy. Numerical simulations show an evolution towards the minimum of communicative energy for populations communicating with Zipfian languages. Our results suggest thus a new way to understand energy-based approaches to the formation of human language.

中文翻译：

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对通信能量的分散优化进行建模

本文集成了两种不同的方式来应对通信系统的出现。首先，信息理论模型主张将说话者和听者的努力结合在一起，以使交流能量最小化为基础，出现齐夫平性质。其次，基于代理的分散模型关注于一群人中共享通信系统的出现。这里的主要目的是探索基于分散主体的语言形成模型如何仅从本地说话人与听众的互动中展现出交流能量的最小化。数值模拟显示了使用Zipfian语言进行交流的人群朝着最小交流能量的方向发展。因此，我们的研究结果提出了一种新的方式来理解基于能量的人类语言形成方法。