摘要
随着精细追踪类监控任务越来越普遍,此类任务中的认知行为过程也越来越得到关注和研究。本文通过对典型认知体系结构ACT-R的研究及此类任务认知行为的分析,借助拟合ACT-R和QN结构的QN-ACTR认知建模构架,提出了此类任务认知行为的建模方法,选择手控交会对接任务为例建立了认知模型;并对模型有效性进行了验证;表明了认知行为建模可以应用于精细追踪类监控任务,为其认知过程分析提供重要的参考。
With more and more precise tracking and monitoring tasks in many fields,the cognitive process in such tasks has attracted more and more attention. A modeling method for precise tracking and monitoring task behavior is presented by using queuing network（ QN） and adaptive control of thought-rational（ ACT-R）. With this modeling method,a manual-control rendezvous and docking（ RVD） task model is built based on a research on the theory of ACT-R. Then,to integrate the two complementary classes of cognitive architectures： QN mathematical architecture and ACT-R symbolic architectures,human behavior of such tasks is described by QN to form a cognitive architecture with QN-ACTR. A simulation demonstrates the validity of the model,which means that the model is applicable to precise tracking and monitoring task. Thus,it plays an important role in the analysis of cognitive process.
出处
《工业工程》
北大核心
2013年第6期1-7,共7页
Industrial Engineering Journal
基金
国家"九七三"基础研究资助项目(2011CB711005)
