Techniques for plan recognition
Techniques for plan recognition
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DOI：
10.1023/a:1011118925938
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发表时间：
2001-01-01
影响因子：
3.6
通讯作者：
Carberry, S
中科院分区：
文献类型：
--
作者：
Carberry, S
了解用户的计划和目标可以显着提高交互系统的效率。然而，认识到这些目标以及用户实现这些目标的预期计划并不是一件容易的事。尽管许多研究涉及表示计划推理所需的知识和开发假设用户不断发展的计划的策略，但许多严重的问题仍然阻碍了计划识别在大规模的现实世界应用中的使用。本文描述了用于计划推理的各种方法，以及处理歧义性、鲁棒性和必要领域知识表示的技术，并讨论了需要进一步研究的领域。
Knowing a user's plans and goals can significantly improve the effectiveness of an interactive system. However, recognizing such goals and the user's intended plan for achieving them is not an easy task. Although much research has dealt with representing the knowledge necessary for plan inference and developing strategies that hypothesize the user's evolving plans, a number of serious problems still impede the use of plan recognition in large-scale, real-world applications. This paper describes the various approaches that have been taken to plan inference, along with techniques for dealing with ambiguity, robustness, and representation of requisite domain knowledge, and discusses areas for further research.