一种理解关于定型活动的叙述的ASP方法
An ASP Methodology for Understanding Narratives about Stereotypical Activities
摘要：
我们描述了一个应用程序的答案集编程的理解有关的刻板活动的叙述，表现出通过问答。埃里克·穆勒（Erik Mueller）在这方面做了大量工作，他将刻板的活动建模为脚本。他的系统能够理解大量的叙述，但无法处理描述特殊场景的文本。我们建议解决这个问题，使用的意图理论开发的布朗特，Gelfond，和Balduccini。我们提出了一种方法，在这种方法中，我们用活动代替脚本（即，与目标相关联的层次计划），并采用意向代理人的概念来推理正常和异常场景。我们通过回答一些关于餐馆故事的问题来验证这种方法的应用。本文件正在考虑被TPLP接受。
英文摘要：
We describe an application of Answer Set Programming to the understanding of narratives about stereotypical activities, demonstrated via question answering. Substantial work in this direction was done by Erik Mueller, who modeled stereotypical activities as scripts. His systems were able to understand a good number of narratives, but could not process texts describing exceptional scenarios. We propose addressing this problem by using a theory of intentions developed by Blount, Gelfond, and Balduccini. We present a methodology in which we substitute scripts by activities (i.e., hierarchical plans associated with goals) and employ the concept of an intentional agent to reason about both normal and exceptional scenarios. We exemplify the application of this methodology by answering questions about a number of restaurant stories. This paper is under consideration for acceptance in TPLP.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
