Disjunctive Planning: A Unified Approach for Scaling up Plansynthesis

最近，一些新的和有效的方法已被开发的计划综合，涉及计划综合的约束满足。 目前，这些新的算法与传统的精细规划方法之间存在着巨大的差距。 PI已经开发了细化规划框架的一般化，其中提到的新方法都可以被视为细化规划器的一个特殊子类的特殊实例，称为“分离规划器”。这一见解为重点研究开辟了几条令人兴奋的途径：与一般分离性规划的其他实例相对应的缺失规划者是否会更有效？ 管理这些规划者的效率的权衡是什么？ 如何有效地将非分离型规划者在提高绩效方面取得的进展转移到分离型规划者身上？ PI提出了几个具体的研究任务来回答这些问题。 建议的析取规划框架桥梁的约束满足，规划和命题推理领域，并承诺提供一个从根本上有效的基板计划合成。该框架的桥梁约束满足，规划和命题推理的领域，并承诺提供一个从根本上有效的基板计划合成。 该框架还支持规划和调度的无缝集成。

Recently, several new and efficient approaches have been developed for plan synthesis that relate plan synthesis to constraint satisfaction. At present, there exist a huge gulf between these new breed of algorithms and the traditional refinement planning approaches. The PI has developed a generalization of the refinement planning framework within which the newer approaches mentioned can all be seen as particular instances of a distinguished subclass of refinement planners called "disjunctive planners." This insight opens up several exciting avenues of focused research: Could the missing planners corresponding to the other instances of general disjunctive planning be more efficient? What are the tradeoffs governing the efficiency of these spectrum of planners? How does one effectively transfer the progress made in improving the performance of non-disjunctive planners to disjunctive planners? The PI proposes several specific research tasks to answer these questions. The proposed disjunctive planning framework bridges the areas of constraint satisfaction, planning and propositional reasoning, and promises to offer a radically efficient substrate for plan-synthesis. The framework bridges the areas of constraint satisfaction, planning and propositional reasoning, and promises to offer a radically efficient substrate for plan-synthesis. The framework also supports seamless integration of planning and scheduling.