Problem
Research questions and friction points this paper is trying to address.
bounded agent
information budget
memory and message rate
achievable region
remembering--signaling frontier
Memory Is Communication: The Frontier Between Remembering and Signaling
🤖 AI Summary
研究探讨了有限资源下，智能体如何在记忆和同伴通信间分配信息预算以优化决策性能，并通过实验估计记忆-信号边界。
📝 Abstract
A bounded agent may obtain information for a decision from its own past, from peers, or from both sources. Retaining task-relevant history can reduce later communication, while a peer message can supply what memory lacks. Under limits on both resources, how should an agent allocate its information budget? Given a fixed task and decision rule, the memory and message rate pairs attaining a performance threshold form an achievable region under specified rules for using history and peer observations. We call its efficient boundary the remembering--signaling frontier. Across conditions where history permits the same maximum reduction in task loss, we hypothesize that a bounded agent will need less peer communication when it obtains a larger loss reduction from history. In preliminary referential games, target repetition coincided with shorter successful messages, while predictability from a hidden cyclic rule did not shorten them. Experiments varying memory and message rates can estimate the frontier and test this prediction across cooperative tasks.
Innovation
Methods, ideas, or system contributions that make the work stand out.
remembering--signaling frontier
information budget
bounded agent
referential games
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