Multi-agent systems (MAS) may encounter uncertainties in the form of unexpected environmental conditions, sub-optimal system configurations, and unplanned interactions between autonomous agents. The number of combinations of such uncertainties may be innumerable, however run-time testing may reduce the issues impacting such a system. We posit that search heuristics can augment a run-time testing process, in-situ, for a MAS. To support our position we discuss our in-progress experimental testbed to realize this goal and highlight challenges we anticipate for this domain.
翻译：多试剂系统(MAS)可能会遇到以意外环境条件、亚最佳系统配置和自主剂之间无计划的互动等形式出现的不确定因素。这种不确定因素的组合数量可能不可计数,尽管运行时间的测试可以减少影响这种系统的问题。我们认为,搜索超常性能可以增加一个运行时间测试过程,即现场测试。为了支持我们的立场,我们讨论了我们为实现这一目标而正在试验的实验试验台,并突出强调我们预计在这一领域将面临的挑战。
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