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Efficient Open World Reasoning for Planning

机译:有效的开放世界规划推理

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摘要

We consider the problem of reasoning and planning with incomplete knowledgeand deterministic actions. We introduce a knowledge representation schemecalled PSIPLAN that can effectively represent incompleteness of an agent'sknowledge while allowing for sound, complete and tractable entailment indomains where the set of all objects is either unknown or infinite. We presenta procedure for state update resulting from taking an action in PSIPLAN that iscorrect, complete and has only polynomial complexity. State update is performedwithout considering the set of all possible worlds corresponding to theknowledge state. As a result, planning with PSIPLAN is done without directmanipulation of possible worlds. PSIPLAN representation underlies the PSIPOPplanning algorithm that handles quantified goals with or without exceptionsthat no other domain independent planner has been shown to achieve. PSIPLAN hasbeen implemented in Common Lisp and used in an application on planning in acollaborative interface.
机译:我们以不完整的知识和确定性的动作来考虑推理和计划问题。我们引入了一种称为PSIPLAN的知识表示方案,该方案可以有效地表示代理知识的不完整性,同时允许所有对象的集合为未知或无限的合理,完整和易于处理的蕴含域。我们介绍了一种状态更新过程,该过程是由于在PSIPLAN中执行的操作正确,完整且仅具有多项式复杂性而导致的。执行状态更新时无需考虑与知识状态相对应的所有可能世界的集合。因此,使用PSIPLAN进行规划时无需直接操纵可能的世界。 PSIPLAN表示法是PSIPOPplanning算法的基础,该算法处理量化的目标,无论是否有其他任何领域独立的计划者均未实现的例外。 PSIPLAN已在Common Lisp中实现,并用于协作界面中的计划应用程序中。

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