Very Large-Scale Multi-Agent Simulation in AgentScope
Xuchen Pan, Dawei Gao, Yuexiang Xie, Yushuo Chen, Zhewei Wei, Yaliang, Li, Bolin Ding, Ji-Rong Wen, Jingren Zhou

TL;DR
This paper introduces AgentScope, a scalable, efficient, and user-friendly multi-agent platform designed for very large-scale simulations, addressing existing platform limitations through innovative technological and usability enhancements.
Contribution
The paper presents new distributed mechanisms, environment support, tools, and a web interface that significantly improve scalability, efficiency, and usability of multi-agent simulations in AgentScope.
Findings
Enhanced scalability and efficiency demonstrated in large-scale simulations
Simplified agent creation with diverse backgrounds
Effective management and monitoring of agents across multiple devices
Abstract
Recent advances in large language models (LLMs) have opened new avenues for applying multi-agent systems in very large-scale simulations. However, there remain several challenges when conducting multi-agent simulations with existing platforms, such as limited scalability and low efficiency, unsatisfied agent diversity, and effort-intensive management processes. To address these challenges, we develop several new features and components for AgentScope, a user-friendly multi-agent platform, enhancing its convenience and flexibility for supporting very large-scale multi-agent simulations. Specifically, we propose an actor-based distributed mechanism as the underlying technological infrastructure towards great scalability and high efficiency, and provide flexible environment support for simulating various real-world scenarios, which enables parallel execution of multiple agents, automatic…
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Taxonomy
TopicsMulti-Agent Systems and Negotiation · Simulation and Modeling Applications
