首页> 外文会议>Human Factors and Ergonomics Society annual meeting >DEVELOPING A FORMAL MODEL OF HUMAN MEMORY IN A SIMULATED AIR TRAFFIC CONTROL CONFLICT DETECTION TASK.
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DEVELOPING A FORMAL MODEL OF HUMAN MEMORY IN A SIMULATED AIR TRAFFIC CONTROL CONFLICT DETECTION TASK.

机译:在模拟空中交通管制冲突检测任务中开发人类内存正式模型。

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This paper describes the development of a formal model of conflict detection in a simulated air traffic control task. The model assumes that people rely on information from two sources when performing conflict detection tasks: perceptual cues, and memory for prior examples. The architecture of the memory system is based on Hintzman’s (1986) Minerva 2 model, which is a multiple trace model of episodic and semantic memory. The model was able simulate the performance of na?ve experimental participants on a conflict detection task. Aspects of human data that were simulated included differential effects of item repetition on reaction times and false alarm rates during training, and positive and negative transfer from prior examples at test.
机译:本文介绍了模拟空中交通管制任务中冲突检测正式模型的发展。 该模型假设人们在执行冲突检测任务时依赖两个来源的信息:对先前示例的感知线索和存储器。 内存系统的架构基于Hintzman的Minerva 2模型,这是一个多跟踪型号的ePiSodic和语义记忆模型。 该模型能够模拟Na ve实验参与者对冲突检测任务的性能。 模拟人类数据的各方面包括在训练期间对反应时间和错误报警速率的物品重复的差异效应,以及从测试中的前方实施例的正和负转移。

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