基于群体的系统中突现行为的验证

C. Rouff, A. Vanderbilt, M. Hinchey, W. Truszkowski, J. Rash
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引用次数: 23

摘要

群体的涌现特性使基于群体的任务变得强大,但同时也使设计和确保适当的行为出现变得更加困难。我们目前正在调查核实和确认基于群体的任务的正式方法和技术。自主纳米技术蜂群(ANTS)任务被用作基于蜂群的任务的例子和案例研究,以实验和测试智能蜂群的当前正式方法。利用蚁群任务,我们评估了多种形式化方法,以确定它们在建模和保证群体行为方面的有效性。本文介绍了如何为NASA任务提出智能群技术,并给出了几种形式化方法和方法的比较结果,这些方法和方法用于指定基于智能群的系统及其预测紧急行为的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Verification of emergent behaviors in swarm-based systems
The emergent properties of swarms make swarm-based missions powerful, but at the same time more difficult to design and to assure that the proper behaviors emerge. We are currently investigating formal methods and techniques for verification and validation of swarm-based missions. The Autonomous Nano-Technology Swarm (ANTS) mission is being used as an example and case study for swarm-based missions to experiment and test current formal methods with intelligent swarms. Using the ANTS mission, we have evaluated multiple formal methods to determine their effectiveness in modeling and assuring swarm behavior. This paper introduces how intelligent swarm technology is being proposed for NASA missions, and gives the results of a comparison of several formal methods and approaches for specifying intelligent swarm-based systems and their effectiveness for predicting emergent behavior.
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