Agent-based Simulation of Group-Task Interaction in Knowledge Team
Jiang WU and Bin HU
Summer Computer Simulation Conference 2007 (SCSC 2007)
San Diego, California (USA), July 15-18, 2007
Abstract
To research interaction between group and task in knowledge team, Transactive Memory is introduced to computer simulation in this paper. AMTMGTI (Agent-based Model of Transactive Memory for Group-Task Interaction) is proposed to describe the mechanism in group-task interaction. Among tasks, individuals and skills of a project team, there are many relationships in complex team network. We use some action rules related to task execution, communication and learning in Transactive Memory System to drive this AMTMGTI model. To combine task sub-system with person sub-system, the database is acted as media to communicate. The Gantt Graph analysis is used to represent task schedule and task allocation in task sub-system. In implementation, we use open-source Java Repast and Java Swing for programming. Then, through qualitative validation methods, we can verify the validation of this model. Finally, we complete some experiments related to Transactive Memory, some findings can be obtained in experiments. It is shown that this approach could also be a new attempt for the research of group behavior and task allocation in management field.