From Signals to Structure: How Memory Architecture Drives Language Emergence in LLM Agents
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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…
1Key Takeaways
- 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….
2AIWedia Score
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3Why it matters
Research breakthroughs often arrive in products months later—early signals matter for strategy. arXiv cs.AI reports that arXiv:2607.00233v1 Announce Type: new Abstract: How do two agents invent a shared language from scratch?
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