their workload, ease their own burden, and achieve common goals more efficiently. Of course, when
the workload becomes lighter, they can also reduce the number of agents delegated to their tasks
to save system costs. In this approach, the designer merely defines the initial framework, granting
agents greater autonomy and self-organization, making the entire system more autonomous and
self-organized. Agents can better manage their workload under evolving conditions and demands,
offering greater flexibility and scalability.
TheRiseandPotentialofLargeLanguageModel BasedAgents