According to the attention network theory, attention is viewed as an organ systemudcomprising specialised networks that carry out functions of alerting, orienting andudexecutive control. The Attention Network Test (ANT) is a simple and popularudexperiment that measures the efficiencies and interactions of these three subcomponentsudof attention in a single task, and has been used for adults, children andudattention deficit patients. In this thesis, cognitive modelling is used as a research tool toudsimulate the performance of subjects on the ANT, as well as variations of the ANTudusing ACT-R 6.0 cognitive architecture. All models are validated against human dataudusing various goodness-of-fit criteria at multiple measures of the latency, accuracy andudefficiency of the three networks.ududOnce the simulation of healthy human performance on the ANT is established,udmodifications inspired by psychology literature are made to simulate the performance onudANT by children and patients affected with Alzheimer‘s disease (AD) and mildudtraumatic brain injury (mTBI). The implementation of networks, their interactions andudimpairments in the models are shown to be theoretically grounded. Based on theudsimulation results and the understanding gained through model processes, a number ofudnovel predictions are made, behaviour of the networks and a few discrepancies in humanuddata are explained. The model predicts that in the case of Alzheimer‘s disease, theudorienting network may be impaired and cueing may have a positive effect on conflictudresolution. Also, in the case of mTBI, it was predicted that the validity effect may beudimpaired only in the earlier weeks after the injury. For children, a possible relationshipudbetween processing speed and mechanism of inhibitory control is predicted. It is positedudthat there is not always a 'global clock' that controls processing speed and furtheruddifferent processes may be running with different processing times.
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机译：根据注意力网络理论，注意力被看作是一个器官系统，由专门的网络组成，该网络执行警报，定向和执行控制功能。注意网络测试（ANT）是一项简单且流行的实验，它可以在单个任务中测量这三个子组件的注意力的效率和相互作用，并且已用于成人，儿童和注意力不集中的患者。在本文中，认知建模被用作研究工具模拟在ANT上的表现，以及ANT的变体使用ACT-R 6.0认知体系。所有模型都针对人类数据进行了验证在三个网络的等待时间，准确性和效率的多种度量下使用了各种拟合优度标准。 ud ud一旦在ANT上建立了健康的人类绩效模拟， udmodifications受心理学文献启发，模拟了患有阿尔茨海默氏病（AD）和轻度创伤性脑损伤（mTBI）的儿童和患者在 udANT上的表现。在模型中网络的实现，它们的相互作用和双配对被证明是理论基础。基于模拟结果和通过模型过程获得的理解，进行了许多 udnovel预测，解释了网络的行为以及人 uddata中的一些差异。该模型预测，在阿尔茨海默氏病的情况下，“定向网络”可能会受到损害，提示可能会对冲突解散产生积极影响。同样，对于mTBI，预计仅在损伤后的前几周可能会降低有效性。对于儿童，预测了处理速度和抑制控制机制之间的可能关系。假设 ud并非总是有一个“全局时钟”来控制处理速度，并且不同的进程可能正在以不同的处理时间运行。
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