提出事务驱动框架OptiMA，提升百级复杂多智能体系统的稳定与吞吐。
OptiMA: A Transaction-Based Framework with Throughput Optimization for Very Complex Multi-Agent Systems
- 用事务机制管理复杂多智能体协作，增强系统容错性。
- 引入事务调度使系统吞吐提升超16%。
- 适合研究大规模分布式系统或高可靠性智能体架构的学者。
近年来，多智能体系统研究趋向于构建更大更复杂的模型以完成复杂任务。我们指出，复杂度增加可能引发两大问题：对故障更敏感，以及性能瓶颈。为应对前者，提出基于事务的框架来设计超复杂多智能体系统（VCMAS）；为解决后者，将事务调度集成进该框架。我们实现了上述思路，开发出OptiMA框架，验证其可支持超过一百个智能体的系统运行。通过实验展示事务调度带来的性能提升超过16%。此外，还对事务调度问题进行了理论分析，并提供了可用于未来研究的实用工具。
原文摘要 · Abstract (English)
In recent years, the research of multi-agent systems has taken a direction to explore larger and more complex models to fulfill sophisticated tasks. We point out two possible pitfalls that might be caused by increasing complexity; susceptibilities to faults, and performance bottlenecks. To prevent the former threat, we propose a transaction-based framework to design very complex multi-agent systems (VCMAS). To address the second threat, we offer to integrate transaction scheduling into the proposed framework. We implemented both of these ideas to develop the OptiMA framework and show that it is able to facilitate the execution of VCMAS with more than a hundred agents. We also demonstrate the effect of transaction scheduling on such a system by showing improvements up to more than 16\%. Furthermore, we also performed a theoretical analysis on the transaction scheduling problem and provided practical tools that can be used for future research on it.
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