Exploiting causal structures in planning for improved search, adaptability and explanations.

在规划中利用因果结构来改进搜索、适应性和解释。

• 批准号: 2125346
• 金额: --
• 依托单位: King's College London
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2018
• 资助国家: 英国
• 起止时间: 2018 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2125346
• 关键词: Exploiting; causal; structures; planning; improved

This research centres around causal structures in planning: how can the causal structures and patterns of planning problems and domains be exploited to help provide explanations, guide search, and improve online adaptability of plans. Additionally, can rigorous definitions of causal structures lead to a greater understanding of planning problems, and can this lead to a better classification of temporal-numeric planning problems?

本研究围绕因果结构规划：如何利用因果结构和规划问题和领域的模式，以帮助提供解释，指导搜索，并提高计划的在线适应性。此外，严格的因果结构的定义可以导致更好地理解规划问题，这可以导致更好地分类的时间数值规划问题？