Contextual Modeling For Intelligence Mobile Device

Misbehaviors of mobile device systems have been increasingly become a disturbing and almost hazard social phenomena. This is simply because existing mobile device systems including those so called smart-phones do not have a proper computational mechanism which enables them to dynamically adjust their behaviors according to specific contexts (the environments of the mobile device reside in). This paper discusses a context-based approach to automatic regulation of mobile device behaviors and its initial experimental implementation based in pervasion computing environments. Four parts of researches will be discussed in this paper: 1. give the concepts of Context and Context-aware; 2. build the computation-frame of context-aware computing; 3. various kinds of context entities and mobile device behaviors both are articulated and represented in ontological models, and the two models are integrated in the form of semantic network in which they are connected by inferential relationships; 4. The preliminary experiments have been demonstrated by MBA (Mobile Behaviors Agent) system.