基于Agent的团队知识系统计算实验及其应用

Team Knowledge System Computational Experiment and its Application Based on Agent

团队如何利用自身现有的知识,促进成员之间的知识交流,对于团队能否完成任务并提高竞争力至关重要.从知识管理角度依据复杂自适应系统的相关理论对团队知识系统进行建模,包括团队中个体Agent的属性、行为以及相互之间的交互规则等,并定义了系统的环境和输入输出.在此基础上,结合计算实验理论分析了一个关于团队外部控制条件对团队绩效影响的实例,验证了团队知识系统计算实验的可行性并探讨了其对管理实践的意义.

How to use existing knowledge to promote knowledge communication among team members is critical for a team to complete tasks and improve its core competitiveness. This study builds a model of team knowledge system based on related theories of CAS（Complex Adaptive System） from knowledge management perspective. The model includes attributes, actions and interaction rules of individual agent. The system environment, inputs and outputs are also defined in this study. Then based on the main ideas of computational experiments, this study analyzes a case that how external control influences team performance and verifies the feasibility of computational experiments of team knowledge systems. The managerial implications are discussed at last.