Towards Exploiting Generic Problem Structures in Explanations for Automated Planning
Towards Exploiting Generic Problem Structures in Explanations for Automated Planning
复制标题
在自动规划的解释中利用通用问题结构
DOI：
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发表时间：
2019
期刊：
影响因子：
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通讯作者：
A. Lindsay
中科院分区：
文献类型：
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作者：
A. Lindsay
可解释的人工智能正在成为人工智能的重点关注领域。在自动化规划（AP）中，可解释规划（XAIP）区域侧重于规划过程的解释。规划过程的相对透明性和灵活性已被确定为关键方面，表明AP处于有利地位，可以在可解释的AI中做出重要贡献[8]。然而，在可以直接从AP模型提取的解释和有效的解释之间仍然存在很大的差距。越来越多的框架正在从用户端和规划者端考虑问题，其中用户端理解解释可能采取的形式很有趣;规划者端必须能够解释各种决策和相关属性。然而，方法集中在单域设置，其中产生大量的域特定内容，或者在一般级别，其中只能使用抽象的规划概念。我们的目标是开发一个抽象层，坐在这些之间，并利用经常重叠的概念和结构之间存在的许多规划域。我们建议利用域分析技术，以确定共同的角色和通用的问题结构（GPS）。通过将用于解释的概念附加到这些结构上，我们可以利用结构所支持的上下文信息，并且还可以减轻在这些结构存在的领域中构建解释的负担。在这项工作中，我们探讨了利用GPS在XAIP的机会。
Explainable AI is becoming an area of key focus in Artificial Intelligence. Within Automated Planning (AP) the area Explainable Planning (XAIP) focuses on explanations of the planning process. The relative transparency and flexibility of the planning process have been identified as key aspects suggesting that AP is well positioned to make an important contribution in Explainable AI [8]. However, there is still a wide gap between explanations that can be directly extracted from AP models and effective explanations. There are a growing number of frameworks that are considering the problem from both the user side, where it is interesting to understand the form that an explanation might take; as well as the planner side, which must be able to explain various decisions and related properties. However, approaches have focused on single domain settings, where substantial domain specific content is produced, or at a general level, where only abstract planning concepts can be used. We aim to develop an abstraction layer that sits between these and exploits the often overlapping concepts and structures that exist between many planning domains. We propose exploiting domain analysis techniques in order to identify common roles and generic problem structures (GPSs). By attaching the concepts used for explanation to these structures we can exploit the contextual information supported by the structure, and also reduce the burden of constructing explanations in domains where these structures exist. In this work we explore the opportunities for exploiting GPSs in XAIP.
解除基于规则的政策语言的限制
DOI：
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发表时间：
2009
期刊：
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影响因子：
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作者：
A Lindsay
通讯作者：
A Lindsay