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首页> 外文会议>International conference on agreement technologies;European conference on multi-agent systems >Local Scheduling in Multi-Agent Systems: Getting Ready for Safety-Critical Scenarios
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Local Scheduling in Multi-Agent Systems: Getting Ready for Safety-Critical Scenarios

机译：多Agent系统中的本地调度：为安全关键型场景做好准备

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Multi-Agent Systems (MAS) have been supporting the development of distributed systems performing decentralized thinking and reasoning, automated actions, and regulating component interactions in unpredictable and uncertain scenarios. Despite the scientific literature is plenty of innovative contributions about resource and tasks allocation, the agents still schedule their behaviors and tasks by employing traditional general-purpose scheduling algorithms. By doing so, MAS are unable to enforce the compliance with strict timing constraints. Thus, it is not possible to provide any guarantee about the system behavior in the worst-case scenario. Thereby, as they are, they cannot operate in safety-critical environments. This paper analyzes the agents' local schedulers provided by the most relevant agent-based frameworks from a cyber-physical systems point of view. Moreover, it maps a set of agents' behaviors on task models from the real-time literature. Finally, a practical case-study is provided to highlight how such "MAS reliability" can be achieved.
机译：多代理系统（MAS）一直在支持分布式系统的开发，这些分布式系统在不可预测和不确定的情况下执行分散的思考和推理，自动操作并调节组件交互。尽管科学文献对资源和任务分配做出了许多创新性贡献，但是代理仍然通过采用传统的通用调度算法来调度其行为和任务。这样，MAS无法强制执行严格的时间限制。因此，不可能在最坏的情况下提供有关系统行为的任何保证。因此，它们实际上不能在对安全性要求很高的环境中运行。本文从网络物理系统的角度分析了由最相关的基于代理的框架提供的代理的本地调度程序。而且，它根据实时文献将一组代理的行为映射到任务模型上。最后，提供了一个实际的案例研究来强调如何实现这种“ MAS可靠性”。

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