Very Large-Scale Multi-Agent Simulation in AgentScope
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, centralized workflow
orchestration, and both inter-agent and agent-environment interactions among
agents. Moreover, we integrate an easy-to-use configurable tool and an
automatic background generation pipeline in AgentScope, simplifying the process
of creating agents with diverse yet detailed background settings. Last but not
least, we provide a web-based interface for conveniently monitoring and
managing a large number of agents that might deploy across multiple devices. We
conduct a comprehensive simulation to demonstrate the effectiveness of the
proposed enhancements in AgentScope, and provide detailed observations and
discussions to highlight the great potential of applying multi-agent systems in
large-scale simulations. The source code is released on GitHub at
https://github.com/modelscope/agentscope to inspire further research and
development in large-scale multi-agent simulations.
66a31f39a74b20aad777e7e7
Xuchen Pan
admin_assigned
2024-07-26T08:30:22.586Z
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/avatars/c7453a5641a94d04a75de9b7d4272bc2.svg
Xuchen Pan
user
panxuchen
66a31f39a74b20aad777e7e8
Dawei Gao
admin_assigned
2024-07-26T08:30:28.568Z
642e79a83a486fec83426a49
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dawei gao
user
DavdGao
66a31f39a74b20aad777e7e9
Yuexiang Xie
66a31f39a74b20aad777e7ea
Zhewei Wei
66a31f39a74b20aad777e7eb
Yaliang Li
66a31f39a74b20aad777e7ec
Bolin Ding
66a31f39a74b20aad777e7ed
Ji-Rong Wen
admin_assigned
2024-07-26T08:32:01.623Z
64b8c89052b7353d8c6a1013
/avatars/cd59fffe81f6b07b4519540b8ff3d95f.svg
Ji-Rong Wen
user
jrwen
66a31f39a74b20aad777e7ee
Jingren Zhou
admin_assigned
2024-07-26T08:32:09.560Z
602f88f5e8149a962412a667
/avatars/b78f0e583df8e5d5e3365934fe5f4900.svg
Zhou
user
Jingren
Very Large-Scale Multi-Agent Simulation in AgentScope
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, centralized workflow
orchestration, and both inter-agent and agent-environment interactions among
agents. Moreover, we integrate an easy-to-use configurable tool and an
automatic background generation pipeline in AgentScope, simplifying the process
of creating agents with diverse yet detailed background settings. Last but not
least, we provide a web-based interface for conveniently monitoring and
managing a large number of agents that might deploy across multiple devices. We
conduct a comprehensive simulation to demonstrate the effectiveness of the
proposed enhancements in AgentScope, and provide detailed observations and
discussions to highlight the great potential of applying multi-agent systems in
large-scale simulations. The source code is released on GitHub at
https://github.com/modelscope/agentscope to inspire further research and
development in large-scale multi-agent simulations.
Enhancements to the AgentScope platform improve scalability, efficiency, and ease of use for large-scale multi-agent simulations through distributed mechanisms, flexible environments, and user-friendly tools.
actor-based distributed mechanism multi-agent platform centralized workflow orchestration inter-agent interactions agent-environment interactions configurable tool automatic background generation pipeline web-based interface