ISSN 0439-755X
CN 11-1911/B
主办:中国心理学会
   中国科学院心理研究所
出版:科学出版社

心理学报 ›› 2003, Vol. 35 ›› Issue (06): 777-785.

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分布式群体在动态系统控制决策中的内隐学习

何贵兵,曾建华   

  1. 浙江大学心理与行为科学系,杭州 310028
  • 收稿日期:2002-11-26 修回日期:1900-01-01 出版日期:2003-11-30 发布日期:2003-11-30
  • 通讯作者: 何贵兵

IMPLICIT LEARNING OF DISTRIBUTED DECISION GROUP IN DYNAMIC SYSTEM CONTROL TASK

He Gebing,Zeng Jianhua   

  1. Department of Psychology, Zhejiang University, Hangzhou, 310028, China
  • Received:2002-11-26 Revised:1900-01-01 Published:2003-11-30 Online:2003-11-30
  • Contact: He Guibing

摘要: 采用计算机网络模拟技术,考察分布式群体在动态系统控制决策过程中对系统规则的内隐学习效应及其迁移。结果表明,在决策者的显性规则知识量极少且没有增加的情况下,决策绩效随决策进程适应性提高。决策者所能报告的规则知识量与决策绩效的相关也不显著。同时,当决策任务目标转换时,决策的高绩效得以维持。这表明群体决策者能对动态系统规则进行内隐学习,且能正迁移到类似的决策情景中。研究进一步指出,群体决策行为的动态适应与内隐过程有关

关键词: 分布式群体, 动态系统控制, 内隐学习, 适应性决策行为

Abstract: 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

Key words: distributed decision group, dynamic system control, implicit learning, adaptive decision behavior

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