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LLMs & Texto
From Signals to Structure: How Memory Architecture Drives Language Emergence in LLM Agents
arXiv:2607.00233v1 Announce Type: new Abstract: How do two agents invent a shared language from scratch? In a Lewis signaling game, a sender and receiver must coordinate on a code using only their interaction history. We study five memory architectures across varying channel configurations with LLM agents and find that memory architecture matters more than channel capacity. Agents with a persistent private notebook benefit from surplus channel capacity and avoid the high-capacity collapse seen i...
arXiv cs.AI
·Yashar Talebirad, Eden Redman, Ali Parsaee, Osmar R. Zaiane
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