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Foundations for Knowledge-Based Programs using ES

机译:基于知识的计划的基础

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Reiter proposed a semantics for knowledge-based Golog programs with sensing where program execution can be conditioned on tests involving explicit references to what the agent knows and does not know. An important result of this work is that reasoning about knowledge after the execution of actions can be reduced to classical reasoning from an initial first-order theory. However, it is limited in that tests can only refer to what is known about the current state, knowledge about knowledge is not considered, and the reduction does not apply to formulas with quantifying-in. This is in large part due to the choice of the underlying formalism, which is Reiter's version of the situation calculus. In this paper we show that, by moving to a new situation calculus recently proposed by Lakemeyer and Levesque, we cannot only reconstruct Reiter's foundations for knowledge-based programs but we can significantly go beyond them, which includes removing the above restrictions and more.
机译:Reiter提出了一种关于基于知识的Golog程序的语义,具有感测程序,其中程序执行可以在涉及明确参考代理所知道的和不知道的测试中进行调节。这项工作的一个重要结果是,在执行行动后,可以从初始的一阶理论减少到经典推理后的知识。然而,它的限制在该测试中只能指关于当前状态所知的内容,不考虑关于知识的知识,并且减少不适用于量化的公式。这是由于选择潜在的形式主义,这是庞大的形式正式主义的庞大部分。在本文中,我们展示了,通过迁移到最近由Lakemeyer和Levesque提出的新形势微积分,我们不能只重建基于知识的计划的重构基础,但我们可以显着超越它们,这包括删除上述限制等等。

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