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智能环境中的上下文推理

Reasoning about Context in Ambient Intelligence Environments
课程网址: http://videolectures.net/solomon_antoniou_reasoning/  
主讲教师: Grigoris Antoniou
开课单位: 克里特大学
开课时间: 2011-07-18
课程语种: 英语
中文简介:
在环境智能(AmI)环境中上下文的不完美本质以及拥有并共享可用上下文信息的实体的特殊特性使上下文推理成为一项艰巨的任务。要完成此任务,需要形式模型,将涉及的实体作为基于自治逻辑的代理来处理,并提供用于处理上下文的不完美和分布式性质的方法。在本文中,我们描述了基于多上下文系统形式主义的解决方案,其中本地上下文知识AmI代理被编码为规则理论(上下文),并且代理之间的信息流是通过将不同上下文所使用的概念相关联的映射规则来实现的。为了处理上下文的不完美本质,我们扩展了具有非单调特征的多上下文系统:局部可废除理论,可废除映射以及系统上下文上的偏好关系。我们提出了一种称为上下文可逆逻辑的新颖表示模型,描述了其论点语义,提出了一种完善的分布式查询评估算法,以及该算法的许多变体。最后,我们回顾了一些正在进行的工作。
课程简介: The imperfect nature of context in Ambient Intelligence (AmI) environments, and the special characteristics of the entities that possess and share the available context information render contextual reasoning a very challenging task. The accomplishment of this task requires formal models that handle the involved entities as autonomous logic-based agents, and provide methods for handling the imperfect and distributed nature of context. In this talk, we descrinea solution based on the Multi-Context Systems formalism, in which local context knowledge of AmI agents is encoded in rule theories (contexts), and information flow between agents is achieved through mapping rules associating concepts used by different contexts. To handle the imperfect nature of context, we extend Multi-Context Systems with non-monotonic features: local defeasible theories, defeasible mappings, and a preference relation on the system contexts. We present this novel representation model, called Contextual Defeasible Logic, describe its argumentation semantics, propose a sound and complete algorithm for distributed query evaluation, and a number of variants for this algorithm. We conclude with a review of some ongoing work.
关 键 词: 环境智能; 形式模型; 规则理论
课程来源: 视频讲座网
最后编审: 2019-10-17:cwx
阅读次数: 40