Internet 应带给人们更多的信息与便捷的服务,然而在公平竞争的环境下,商家所提供的产品及服务相形无异,顾客将面临在庞杂的相似资料中寻找自己所需的消费信息并作出最佳选购的策略。文中针对宽带网络环境下,提出一个系统模型来完成个...Internet 应带给人们更多的信息与便捷的服务,然而在公平竞争的环境下,商家所提供的产品及服务相形无异,顾客将面临在庞杂的相似资料中寻找自己所需的消费信息并作出最佳选购的策略。文中针对宽带网络环境下,提出一个系统模型来完成个性化旅游计划的选择,通过利用智能代理人来整合目前线路上各家旅行社所提供旅游套餐的信息,并运用层次分析法策略分析模型来协助消费者选择一个最佳路线。展开更多
This paper analyzes progresses and difficulties of subjects on computer network’s management and artificial intelligence, proposes AGIMA, a new model of network intelligent management, which is based on computer supp...This paper analyzes progresses and difficulties of subjects on computer network’s management and artificial intelligence, proposes AGIMA, a new model of network intelligent management, which is based on computer supported cooperative work (CSCW) and combining new technologies such as WWW, Java. AGIMA transfers from information distribution centered mode in traditional network management to computing distribution centered mode, providing intelligence capacity for network management by a whole intelligent agent group. The implementation of AGIMA takes much consideration of openess, scalability, proactive adaptability and friendliness of human computer interface. Authors present properties of intelligent agent in details, and conclude that network intelligence should be cooperation between human and computer.展开更多
Machine learning has been widely applied to deal with problems in complex environment such as RoboCup, which is assumed as the ideal platform for research on AI and robotic. In RoboCup simulation league, software agen...Machine learning has been widely applied to deal with problems in complex environment such as RoboCup, which is assumed as the ideal platform for research on AI and robotic. In RoboCup simulation league, software agents play soccer games on an official soccer server over the network. When constructing these software agents, issues in area of agents learning techniques arise to satisfy the properties specified by agent theorists. This paper presented an overview of the agents learning used in the simulator teams. Many kinds of agents learning techniques were reported and compared. It also provided open questions for discussing and pointed out some possible answers to verify in near future.展开更多
文摘This paper analyzes progresses and difficulties of subjects on computer network’s management and artificial intelligence, proposes AGIMA, a new model of network intelligent management, which is based on computer supported cooperative work (CSCW) and combining new technologies such as WWW, Java. AGIMA transfers from information distribution centered mode in traditional network management to computing distribution centered mode, providing intelligence capacity for network management by a whole intelligent agent group. The implementation of AGIMA takes much consideration of openess, scalability, proactive adaptability and friendliness of human computer interface. Authors present properties of intelligent agent in details, and conclude that network intelligence should be cooperation between human and computer.
文摘Machine learning has been widely applied to deal with problems in complex environment such as RoboCup, which is assumed as the ideal platform for research on AI and robotic. In RoboCup simulation league, software agents play soccer games on an official soccer server over the network. When constructing these software agents, issues in area of agents learning techniques arise to satisfy the properties specified by agent theorists. This paper presented an overview of the agents learning used in the simulator teams. Many kinds of agents learning techniques were reported and compared. It also provided open questions for discussing and pointed out some possible answers to verify in near future.
