Agents in a minimal multi-agent RL setup develop self-referential communication and an echo-mismatch detection circuit that emerges from environmental affordances rather than task structure or architecture.
Reinforcing the world’s edge: A continual learning problem in the multi-agent-world boundary.arXiv preprint arXiv:2603.06813, 2026
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Emergent Language as an Approach to Conscious AI
Agents in a minimal multi-agent RL setup develop self-referential communication and an echo-mismatch detection circuit that emerges from environmental affordances rather than task structure or architecture.