A Study for Generalization Capability for Acquiring Actions of Agents using Swarm Intelligence in Multiagent System

我们已经知道了一种蚁群优化算法的有效性，并在一些应用中得到了应用。真正的蚂蚁通过信息素物质相互交流，它们会寻找从蚁群到食物所在的最短路径。研究人员已经报告了该算法在他们的应用中的有效性。然而，使用该算法还存在一些问题需要解决。在此基础上，提出了一种基于群体智能的智能体间协作的获取方法。此外，我们还在RoboCup救援仿真系统中进行了评估实验。实验结果表明，本文提出的方法是有效的。

We have known the effectiveness for an algorithm of Ant Colony Optimization ( ACO ) and it has applied some applications. Real ants have communicated each other with pheromone materials and they search the shortest path from their colony to the place of foods. Researchers have reported the effectiveness of the algorithm for their applications. However there are some problems to resolve using this algorithm. One of them is a tradeoff problem between a convergence performance and a diversity of candidate for the optimized solution.Then we have proposed an acquiring method for agents to do co-operation between agents using swarm intelligence. Moreover we have done some evaluation experiments in RoboCup Rescue Simulation System. From the results, we have confirmed the effectiveness of our proposed method.