认知科学领域的研究人员提出了许多认知体系: GOMS、SOAR、EPIC[3]、ACT-R[4]、QN-MHP、QN-ACTR等。本文采用 ACT-R 认知体系,构建了人控交会对接平移控制任务的认知模型,模拟了作业人员感知、决策、决策控制为主的认知过程,结合任务仿真平台评估脑力负荷。1 任务绩效评价的 ACT-R 模型ACT-R 认知模型是在心理学...
Queueing network-model human processor (QN-MHP): A computational architecture for multitask perfor- mance in human-machine systems. ACM Trans Comput-Hum Int, 2006, 13: 37–70 21 Laird J E, Newell A, Rosenbloom P S. Soar: An architecture for general intelligence. Artif Intell, 1987, 33:...
Queueing network-model human processor (QN-MHP): A computational architecture for multitask performance in human-machine systems. ACM Trans Comput-Hum Int, 2006, 13: 37-70 [30] 21 Laird J E, Newell A, Rosenbloom P S. Soar: An architecture for general intelligence. Artif Intell, 1987, ...
The first three stepsQN architecture for response time, QN-RMD (Reflected Multidimensional Diffusions) for response time, response accuracy, and mental architecture, and QN-MHP (Model Human Processor) for mathematical analysis and real time simulation of procedural tasksare summarized first, followed ...
Queueing network-model human processor (QN-MHP): A computational architecture for multitask perfor- mance in human-machine systems. ACM Trans Comput-Hum Int, 2006, 13: 37–70 21 Laird J E, Newell A, Rosenbloom P S. Soar: An architecture for general intelligence. Artif Intell, 1987, 33:...