Properties of a formal method for prediction of emergent behaviors in swarm-based systems

C. Rouff, A. Vanderbilt, M. Hinchey, W. Truszkowski, J. Rash
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引用次数: 48

Abstract

Autonomous intelligent swarms of satellites are being proposed for NASA missions that have complex behaviors and interactions. The emergent properties of swarms make these missions powerful, but at the same time more difficult to design and assure that proper behaviors will emerge. This paper gives the results of research into formal methods techniques for verification and validation of NASA swarm-based missions. Multiple formal methods were evaluated to determine their effectiveness in modeling and assuring the behavior of swarms of spacecraft. The NASA ANTS mission was used as an example of swarm intelligence for which to apply the formal methods. This paper will give the evaluation of these formal methods and give partial specifications of the ANTS mission using four selected methods. We then give an evaluation of the methods and the needed properties of a formal method for effective specification and prediction of emergent behavior in swarm-based systems.
基于群体的系统中紧急行为预测的形式化方法的性质
自主智能卫星群被提议用于具有复杂行为和相互作用的NASA任务。蜂群的涌现特性使这些任务变得强大,但同时也使设计和确保适当的行为出现变得更加困难。本文给出了NASA基于群的任务验证的形式化方法和技术的研究结果。对多种形式化方法进行了评估,以确定它们在建模和保证航天器蜂群行为方面的有效性。NASA的蚂蚁任务被用作应用形式化方法的群体智能的一个例子。本文将对这些形式化方法进行评估,并使用四种选定的方法给出ANTS任务的部分规范。然后,我们给出了有效规范和预测基于群体的系统中的紧急行为的形式化方法的方法和所需的属性的评估。
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