Goal-Oriented Model Conversion to Automated Planning Problem Using Hierarchical Task Networks

Allisson M. R. Barros, V. Nunes, C. Ralha
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Abstract

Specifying systems adhering to stakeholders' goals is a topic of great research interest. This scenario becomes even more challenging when it is expected that systems will be able to adapt in a timely manner to the situations experienced by them in order to promote adherence to organizational and individual expectations. In this sense, this papers works with goal-oriented modeling to promote the understanding and requirements' analysis focused on agents' interests. During the systems project, we advocate the use of automated planning to support the selection of requirements or to support the adaptation of its functionalities at runtime. As a first step, this paper provides a goal-oriented automatic model converter (Tropos model) using RGM (Runtime Goal Model) rules for real-time adaptation to a planning model based on hierarchical tasks network. The converter was tested using three generic examples and a real scenario of a mobile application for public transport. The converter was promising and adherent to the representation of reality.
基于分层任务网络的目标导向模型自动规划问题转换
指定符合利益相关者目标的系统是一个非常有趣的研究课题。当期望系统能够及时适应它们所经历的情况,以促进对组织和个人期望的遵守时,这种情况就变得更具挑战性。从这个意义上说,本文使用面向目标的建模来促进对智能体兴趣的理解和需求分析。在系统项目期间,我们提倡使用自动化计划来支持需求的选择,或者在运行时支持其功能的适应。首先,本文提出了一种基于RGM (Runtime Goal model)规则的面向目标的自动模型转换器(Tropos模型),用于实时适应基于分层任务网络的规划模型。转换器使用三个通用示例和一个公共交通移动应用程序的真实场景进行了测试。转换器是有前途的,坚持现实的表现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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