A verbal agreement is only the beginning
TradeWar is a multi-country simulation for evaluating negotiating language-model agents. It translates dialogue into concrete tariff and trade-share policies, applies capacity and network constraints during settlement and measures the result with an Economic Health Index.
That makes it possible to distinguish an agreeable conversation from a commitment that can actually be executed within the simulation. A proposed deal can sound cooperative while failing to deliver the intended trade once constraints are applied.
Adapt from the outcome, not just the conversation
The paper introduces TACTIC, an agent that refines its strategy across episodes using previous experience, opponent behavior and settlement outcomes. The adaptation does not update the base language model's weights.
In one reported comparison, PromptLLM reaches a 75 percent agreement rate but a final Economic Health Index of 57.1 on the paper's scaled measure. TACTIC reaches 68.8 on that measure. The comparison illustrates why agreement rate alone can miss differences in the consequences of execution.
The researchers also study twenty sequential episodes across three seeds and test technology-control and energy-crisis shocks. Those are simulated experimental conditions, not forecasts about actual countries, trade agreements or economic growth.
Evaluate the complete chain of commitments
A useful application of the benchmark's design is to trace a negotiated statement through structured terms, feasibility checks, execution and delayed outcomes. Each stage can reveal a different failure that an overall agreement percentage would hide.
For teams studying multi-agent coordination, the practical lesson is to include the costs and constraints that take effect after an agent says yes. TradeWar supplies one environment for that investigation and evidence for settlement-grounded adaptation within it. Its index should remain a benchmark score, rather than being presented as a measured real-world economic benefit.
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