: Vocabulario de PLN: multi-agent system

applied NLP > human-computer interaction > multi-agent system

multi-agent system

In this game a multi-agent system must supervise multiple agents and coordinate them with the goal of completing as many dish orders as possible. (Gong, Huang, Ma, Noda, Durante, Zheng, Terzopoulos, Fei-Fei, Gao & Vo, 2024)
Notably our empirical findings can inspire how to design a better multi-agent system through collaboration beyond merely scaling up LLMs and Agents. (Zhang, Xu, Zhang, Liu, Hooi & Deng, 2024)
The objective of the multi-agent system is to finish as many tasks as possible and fail as few tasks as possible within a given time frame. (Gong, Huang, Ma, Noda, Durante, Zheng, Terzopoulos, Fei-Fei, Gao & Vo, 2024)
There are increasing interests in developing multiagent systems using LLMs. (Dong, Zhu, Pan, Zhu & Yang, 2024)
This prototype implements a general tool for designing distributed multiagent systems and has been used to develop an experimental application in the field of descriptive text understanding. (Fum, Guida & Tasso, 1988)

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