基于学习者个性因素的多Agent协同学习系统  

A Collaborative Learning System Based on Learners' Individuality Using Multi-agent

作　　者：周留军[1] 王靖[2] 殷凡[3] 

机构地区：[1]徐州建筑职业技术学院,江苏徐州221008 [2]徐州工程学院,江苏徐州221006 [3]苏州广播电视大学电子工程系,江苏苏州215004

出　　处：《计算机工程与应用》2005年第30期225-228,共4页Computer Engineering and Applications

摘　　要：未解决当前的远程教育系统存在形式单一和被动教学等问题,该文提出了一个基于学习者个性因素的多Agent学习系统模型。该模型结合智能代理技术,通过分析学习者个性因素,给出了个体Agent能力描述语言,提出了新的个性化分组策略和学习任务分配策略,采用补偿机制鼓励agent合作,结合状态空间搜索理论使M AS系统具有更强的解题能力,并可满足学习者主动学习的要求,还能在一定程度上节约系统的通讯。In order to solve the problems existing in the present remote learning system,such as the monotonous pattern and passive educating,a multi-agent learning system model based on learner＇s individuality is presented in this paper.Integrated with intelligent agent technology,the multi-agent learning system gives a agent capability description language by analyzing learner＇s personality,on the basis of which we suggest relevant personal grouping strategy and learning task allocation strategy.Furthermore,It uses compensates mechanism to encourage the agent cooperation,state-space-search theory to enable the MAS system to have the stronger problem solving ability,both of which can meet demand of active learning for the learners and to some extent economize communication of system and save the communication in the system in certain degree.

关 键 词：智能代理 协同学习 多AGENT系统 多AGENT 学习系统 个性化 协同 远程教育系统 智能代理技术 系统模型 

分 类 号：TP391[自动化与计算机技术—计算机应用技术] TP273.22[自动化与计算机技术—计算机科学与技术]