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This paper explores the trade-off between memory and peer communication in bounded agents, proposing a 'remembering–signaling frontier' to optimize information allocation for task performance under resource limits.
Proposes the Neuro-Symbolic Lexical Discovery (NSLD) framework where LLM-based agents autonomously develop shared vocabularies for unknown visual referents in unknown environments, enabling pre-deployment planning for autonomous exploration missions.