Understanding the relation between multiple agents is very important in developing a multi agent system. Two concepts, multi agent system architecture and multi agent system architecture prototype are brought forward,...Understanding the relation between multiple agents is very important in developing a multi agent system. Two concepts, multi agent system architecture and multi agent system architecture prototype are brought forward, and the method of descrbing the relation between agents using the concepts is explored. The structure and components are designed. Based on the fact that cooperation between distributed agents is erratic, a controlled natural language communication function is designed and realized. Applying the offered interfaces, the user′s workload consumed in agent communication and management is reduced, and at the same time, robustness of the multi agent system is improved.展开更多
【目的】明确环境颜色对韭菜迟眼蕈蚊Bradysia odoriphaga Yang et Zhang生长发育及繁殖能力等生物学特征的影响。【方法】在室内条件下,利用黑、棕、绿、红和橙5种颜色卡纸模拟自然环境颜色,比较研究了其对韭菜迟眼蕈蚊生长发育和繁殖...【目的】明确环境颜色对韭菜迟眼蕈蚊Bradysia odoriphaga Yang et Zhang生长发育及繁殖能力等生物学特征的影响。【方法】在室内条件下,利用黑、棕、绿、红和橙5种颜色卡纸模拟自然环境颜色,比较研究了其对韭菜迟眼蕈蚊生长发育和繁殖的影响。【结果】韭菜迟眼蕈蚊发育历期在橙色环境下最长,为26.15 d,黑色环境下最短,为22.35 d;世代存活率在黑色环境下最高,为43.88%,橙色环境下最低,为28.88%;性比在各颜色环境下无显著差异;雌雄成虫寿命均在棕色环境下最长,分别为2.06 d和2.99 d,橙色环境下最短,分别为1.58 d和2.57 d;单雌产卵量在棕色环境下最多,为62.99粒,橙色环境下最少,为45.64粒;种群趋势指数由高到低依次为:黑色(15.90)>棕色(15.07)>透明色对照(12.93)>红色(11.69)>绿色(11.67)>橙色(8.50)。【结论】环境颜色影响韭菜迟眼蕈蚊生物学特性,黑色及棕色环境有利于其生长发育及繁殖,橙色环境可抑制其生长发育及繁殖。展开更多
基金TheNationalNaturalScienceFoundationofChina (No .5 9835 170 )
文摘Understanding the relation between multiple agents is very important in developing a multi agent system. Two concepts, multi agent system architecture and multi agent system architecture prototype are brought forward, and the method of descrbing the relation between agents using the concepts is explored. The structure and components are designed. Based on the fact that cooperation between distributed agents is erratic, a controlled natural language communication function is designed and realized. Applying the offered interfaces, the user′s workload consumed in agent communication and management is reduced, and at the same time, robustness of the multi agent system is improved.
