交互式任务学习的功能知识需求

R. Wray, N. Taatgen, C. Lebiere, Katerina Pastra, P. Pirolli, P. Rosenbloom, matthias. scheutz, T. Stewart, Janet Wiles
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引用次数: 0

摘要

要完成一项新任务,需要学习哪些知识?agent需要哪些背景知识才能有效地运用新知识?本章探讨了知识在任务学习中的功能作用。这些知识角色跨越了与其他实体、环境以及推理系统本身(即体系结构)的核心功能的交互。对“任务”的定义以及任务与知识的关系提出了看法。此外,本文还研究了知识在交互式任务学习(ITL)中所扮演角色的三个具体挑战:ITL所需的架构原语(基本功能和代表性构建块)的识别,学习者和教师之间实现共享理解(“共同点”)的要求,以及支持预测和预测未来状态的条件。最后,提出了具体的研究问题,以解决这些挑战,并推动ITL作为一个研究领域。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Functional Knowledge Requirements for Interactive Task Learning
What knowledge needs to be learned to acquire a novel task? What background knowledge does an agent need to use newly acquired knowledge effectively? This chapter considers the functional roles of knowledge in task learning. These roles of knowledge span interaction with other entities and the environment and core functional capabilities of the reasoning system itself (i.e., architecture). Perspectives are offered on the definition of "task" and the relationship between task and knowledge. In addition, three specific challenges central to the role of knowledge in interactive task learning (ITL) are examined: the identification of architectural primitives (basic functional and representational building blocks) needed for ITL, requirements for enabling shared understanding ("common ground") between learner and instructor, and conditions that support projection and anticipation of future states. In conclusion, specific research questions are put forth to address these challenges and advance ITL as a field of inquiry.
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