Semantic and Virtual Agents Model in Adaptive Middleware Architecture for Smart Vehicle Space

With the increasing prevalence of ubiquitous computing, various resources are constrained and run-time context is diverse, which poses many challenges in computer technologies. It specially requires software middleware architecture more adaptive to the changes in computing environments. This paper presents a semantic and virtual agents model for flexible structure-level and run-time adaptation. In addition, semantic interface protocol is put forward to implement multi-agent adaptation. We have applied this model to adaptive middleware and developed mobile music program. A large number of experiments are made to test the performance and reliability of our adaptive mechanism. The result shows our model and method are available and reliable for agent-level adaptation based on semantic information.

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