RoundTable: Investigating Group Decision-Making Mechanism in Multi-Agent Collaboration
Keywords: Multi-Agent System, Decentralized Collaboration, Collaboration Pattern, Group Behavior, Communication Protocol
TL;DR: This study examines how decentralized decision-making and communication patterns improve collaboration in Multi-Agent Systems, highlighting the benefits of decision flexibility and key linguistic features.
Abstract: This study investigates the efficacy of Multi-Agent Systems in eliciting cross-agent communication and enhancing collective intelligence through group decision-making in a decentralized setting. Unlike centralized mechanisms, where a fixed hierarchy governs social choice, decentralized group decision-making allows agents to engage in joint deliberation. Our research focuses on the dynamics of communication and decision-making within various social choice methods. By applying different voting rules in various environments, we find that moderate decision flexibility yields better outcomes. Additionally, exploring the linguistic features of agent-to-agent conversations reveals indicators of effective collaboration, offering insights into communication patterns that facilitate or hinder collaboration. Finally, we propose various methods for determining the optimal stopping point in multi-agent collaborations based on linguistic cues. Our findings contribute to a deeper understanding of how decentralized decision-making and group conversation shape multi-agent collaboration, with implications for the design of more effective MAS environments.
Primary Area: applications to computer vision, audio, language, and other modalities
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Submission Number: 11987
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