嵌入式Agent在Android平台上的并行交互实现

Parallel Implementation of Embedded Agent on Android Platform

提出一种基于嵌入式Agent任务复杂度排序的Android平台任务调度并行交互算法,构建了嵌入式Agent任务调度模型,对任务信息流进行复杂度排序算法设计,进行任务信息流特征分析,计算最大熵值作为有效反映嵌入式Agent代理任务的特征信息参量,构建嵌入式Agent并行交互约束关系,在Android平台上实现嵌入式Agent并行交互任务调度分析。仿真结果表明,采用该模型数据交互性能较好,人机友好性较高,调度时延较少,展示了算法的优越性。

Put forward a kind of embedded agent task complexity degrees of sorting of the Android platform task scheduling based on parallel interaction algorithm, embedded agent task scheduling model is constructed, task information flow com-plexity sorting algorithm design, task characteristics of information flow analysis, calculation of maximum entropy as effec-tively reflect the information character parameters of embedded agent tasks, build an embedded agent parallel constraint in-teraction relations, on the Android platform realization of embedded agent parallel task scheduling and interaction analysis. The simulation results show that the model has good interaction energy, higher man-machine friendliness, less scheduling time delay, and the superiority of the algorithm.