Decentralized group decision-making in multi-agent systems, facilitated by nuanced social choice methods and analyzed through linguistic features, enhances collaboration and collective intelligence.
Language models can effectively collaborate with each other and human partners to complete complex tasks that require coordination, communication, and task planning.
Introducing S-Agents for autonomous collaboration in open environments.