Transfer of AgentsNet-Measured Performance to Asynchronous or Dynamic Communication Settings

Ascertain how well performance of large language model-based multi-agent systems measured under synchronous message-passing in the LOCAL model transfers to asynchronous or dynamically constrained communication protocols commonly encountered in real-world multi-agent settings.

Background

AgentsNet adopts a synchronous message-passing protocol inspired by the LOCAL model from distributed computing to enable controlled evaluation of decentralized coordination and communication.

The authors note that many real-world multi-agent systems operate asynchronously or under dynamic communication constraints, raising uncertainty about the extent to which benchmarked performance under synchronous assumptions generalizes to these settings.