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A plan-based agent architecture for interpreting natural language dialogue

机译：基于计划的代理架构，用于解释自然语言对话

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This paper describes a plan-based agent architecture for modelling NL cooperative dialogue; in particular, the paper focuses on the Interpretation of dialogue and on the explanation of its coherence by means of the recognition of the speakers' underlying intentions. The approach we propose makes it possible to analyze an explain in a uniform way several apparently unrelated linguistic phenomena, which have been often studied separately and treated via ad-hoc methods in the models of dialogue presented in the literature. Our model of linguistic interaction is based on the idea that dialogue can be seen as any other interaction among agents: therefore, domain-level and linguistic actions are treated in a similar way. Our agent architecture is based on a two-level representation of the knowledge about acting: at the metalevel, the agent modelling (AM) plans describe the recipes for plan formation and execution (they are a declarative representation of a reactive planner); at the object level, the domain and communicative actions are defined. The AM plans are used to identify the goals underlying the actions performed by an observed agent; the recognized plans constitute the dialogue context, where the intentions of all participants are stored in a structured way, in order to be used in the interpretation of the subsequent dialogue turns. (C) 2000 Academic Press. [References: 83]
机译：本文描述了一种用于建模NL合作对话的基于计划的Agent体系结构。特别是，本文着重于对话的解释，并通过承认讲话者的潜在意图来解释其连贯性。我们提出的方法使得有可能以统一的方式分析几种看似无关的语言现象的解释，这些现象经常被单独研究并在文献中提出的对话模型中通过即席方法加以处理。我们的语言交互模型基于这样一种思想，即对话可以看作是代理之间的任何其他交互：因此，以类似的方式对待域级别和语言行为。我们的代理架构基于行为知识的两级表示：在元级别上，代理建模（AM）计划描述了计划形成和执行的方法（它们是反应式计划者的声明性表示）;在对象级别，定义了领域和交流行为。 AM计划用于确定观察到的特工所执行动作的目标。公认的计划构成了对话上下文，所有参与者的意图都以结构化的方式存储在其中，以便在后续对话转弯的解释中使用。 （C）2000年学术出版社。 [参考：83]

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