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Planning as Model Checking for Extended Goals in Non-deterministic Domains

机译:规划作为确定性领域中扩展目标的模型检查

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Recent research has addressed the problem of planning in non-deterministic domains. Classical planning has also been extended to the case of goals that can express temporal properties. However, the combination of these two aspects is not trivial. In non-deterministic domains, goals should take into account the fact that a plan may result in many possible different executions and that some requirements can be enforced on all the possible executions, while others may be enforced only on some executions. In this paper we address this problem. We define a planning algorithm that generates automatically plans for extended goals in non-deterministic domains. We also provide preliminary experimental results based on an implementation of the planning algorithm that uses symbolic model checking techniques.
机译:最近的研究已经解决了非确定性领域中的计划问题。经典计划也已扩展到可以表达时间特性的目标。但是,这两个方面的结合并不是微不足道的。在非确定性领域中,目标应考虑以下事实:计划可能会导致许多可能的不同执行,并且某些要求可以在所有可能的执行中强制执行,而其他要求则可能仅在某些执行上强制执行。在本文中,我们解决了这个问题。我们定义了一种计划算法,该算法可自动生成用于不确定性领域中扩展目标的计划。我们还基于使用符号模型检查技术的规划算法的实现,提供了初步的实验结果。

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