Poor Man's Agentic Modeling: Simulating Large LLM-Agent Societies on a Laptop
3.80T1 sourcearXiv cs.MA
Source record
Published by arXiv cs.MA (T1 source). The original is at https://arxiv.org/abs/2608.11215.
Pipeline notes
The summary and note below are generated by the signal pipeline — they are Beyond Desk’s reading, not quotations from the source.
SummaryResearch paper presenting a method to simulate large LLM agent societies cheaply by replacing each LLM agent with a low-parameter surrogate model fitted from a few hundred to a few thousand queries, then running the full society at any N on a laptop. Validated across eight simulations including EconAgent, with an interaction-order-by-memory taxonomy that predicts surrogate error trends cell by cell.
Why it mattersOffers a concrete, low-cost surrogate method for large-N agent simulations, backed by eight validations and a parameter-free theoretical error prediction framework.
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