Agent-based imitation dynamics can yield efficiently compressed population-level vocabularies

ArXi:2603.15903v1 Announce Type: new Natural languages have been argued to evolve under pressure to efficiently compress meanings into words by optimizing the Information Bottleneck (IB) complexity-accuracy tradeoff. However, the underlying social dynamics that could drive the optimization of a language's vocabulary towards efficiency remain largely unknown.