论文标题
了解人类语言演变的紧急沟通：缺少什么？
Emergent Communication for Understanding Human Language Evolution: What's Missing?
论文作者
论文摘要
人类和人工神经网络代理之间的新兴沟通协议尚未具有相同的特性，并且在结果中表现出一些严重的不匹配。我们描述了有关组成性的出现和好处的三个重要现象：易于学习，泛化和群体规模效应（即，较大的群体创造了更多的系统语言）。后两个没有完全通过神经药物复制，这阻碍了神经紧急沟通用于语言进化研究。我们认为，这些不匹配的可能原因是人类的关键认知和交流约束尚未融合。具体而言，在人类中，记忆约束以及说话者和听众之间的作用之间的交替是语言结构的出现，但是在神经模拟中，这些约束通常不存在。我们建议引入这种交流和认知约束将通过神经药物促进更语言上的合理行为。
Emergent communication protocols among humans and artificial neural network agents do not yet share the same properties and show some critical mismatches in results. We describe three important phenomena with respect to the emergence and benefits of compositionality: ease-of-learning, generalization, and group size effects (i.e., larger groups create more systematic languages). The latter two are not fully replicated with neural agents, which hinders the use of neural emergent communication for language evolution research. We argue that one possible reason for these mismatches is that key cognitive and communicative constraints of humans are not yet integrated. Specifically, in humans, memory constraints and the alternation between the roles of speaker and listener underlie the emergence of linguistic structure, yet these constraints are typically absent in neural simulations. We suggest that introducing such communicative and cognitive constraints would promote more linguistically plausible behaviors with neural agents.
