文章基本信息

标题：On a Planning and Plan Recognition Approach to Generate Advice in a Micro-World for Chemical Experiment
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作者：Isamu Takahashi ; Tatsuhiro Konishi ; Yukihiro Itoh 等
期刊名称：人工知能学会論文誌
印刷版ISSN：1346-0714
电子版ISSN：1346-8030
出版年度：2001
卷号：16
期号：1
页码：63-73
DOI：10.1527/tjsai.16.63
出版社：The Japanese Society for Artificial Intelligence
摘要：In this paper, we discuss a planning and plan recognition approach to generate advice in a Micro- World. A Micro-World should be able to guide a learner who is in impasse. When a learner meets some trouble, a Micro-World should guide the learner by giving some advices. In order to generate appropriate advice, it should have an ability to construct a correct plan to achieve the learner’s goal, and to recognize the learner’s plan by observing the learner’s actions. Therefore we discuss the ability of planning and plan recognition in a Micro-World. We point out some problems concerning to unobservable actions and bad effectual actions, and propose methods to solve the problems. Then we introduce our experimental system. We take chemistry as our domain subject and the system can let a learner learn a chemical experiment with acid-base reactions.
关键词：CAI ; ITS ; micro-world ; learner model ; plan recognition