Artificial Intelligence Applications and Innovations III
Artificial Intelligence Applications and Innovations III
复制标题
人工智能应用与创新三
DOI：
10.1007/978-1-4419-0221-4_54
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发表时间：
2009
期刊：
影响因子：
--
通讯作者：
Corapi D
中科院分区：
文献类型：
--
作者：
Corapi D
普适计算要求基础设施能够适应用户行为的变化，同时最大限度地减少用户交互。基于政策的方法已被提出作为一种提供适应性的手段，但目前要求用户明确定义政策目标和规则。本文提出了一种新的、基于逻辑的方法，用于根据观察到的用户行为自动学习和更新用户模型。我们展示了如何使用非单调学习系统来完成这项任务，并说明了如何在普适计算框架中利用该方法。
Pervasive computing requires infrastructures that adapt to changes in user behaviour while minimising user interactions. Policy-based approaches have been proposed as a means of providing adaptability but, at present, require policy goals and rules to be explicitly defined by users. This paper presents a novel, logic-based approach for automatically learning and updating models of users from their observed behaviour. We show how this task can be accomplished using a nonmonotonic learning system, and we illustrate how the approach can be exploited within a pervasive computing framework.