IMPLICIT LEARNING OF DISTRIBUTED DECISION GROUP IN DYNAMIC SYSTEM CONTROL TASK
分布式群体在动态系统控制决策中的内隐学习

This study examined implicit learning and its transfer effects on decision performance of distributed group in simulated dynamic system control task. The results indicated that decision makers could improve their control performance adaptively with little explicit knowledge about the system rule. The correlation between rule knowledge and decision performance was also insignificant. When the goal of control changed, high level performance was still maintained. It implied that implicit learning about system rule intensively happened and positively transferred into similar decision situation. Based on these results, we suggested that adaptive group decision behavior could be driven by implicit process.