摘要
针对以往上下文推理方法中上下文描述能力差、解决不确定性问题能力低下的现状，提出了一个新的上下文表示和推理的方法。该方法通过用陈述性表示方法描述上下文，提高了上下文的描述能力；用基于规则的逻辑推理方法提高了解决不确定性问题的能力；且该方法将求解问题的复杂度控制在合理的范围内。最后，文中通过实例证实了该方法的可行性。
Considering the problem of poor capacity of context description and low level of tackling uncertain problems in previous approaches, the paper presents a new context representation and inference approach. This approach uses declarative representation to describe context which improves the capacity of context description, uses role-based logical inference approach to enhance the capacity of tackling uncertain problems,and controls the complexity of solving problem at reasonable range. At last, the paper also testifies the approach＇s feasibility by an example.
出处
《计算机应用与软件》
CSCD
北大核心
2006年第9期21-23,共3页
Computer Applications and Software
基金
国家自然科学基金(60373062)资助项目。满
关键词
智能空间
上下文
推理
不一致
规则
Smart space Context Reasoning Inconsistency Rule
