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A computational model of Tower of Hanoi problem solving.

机译:河内塔解决问题的计算模型。

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The Tower of Hanoi (TOH) is a classic problem solving task. Over the past twenty years, it has found new applications in domains of cognition such as executive function, in special populations such as patients with frontal lobe lesions, and with new measurement technologies such as functional neuroimaging. The resulting explosion of new data has not been matched by new theoretical accounts and computational models. This dissertation describes a new model of TOH problem solving. The model is evaluated against behavioral measures of normal young adults, behavioral measures of patients with frontal lobe lesions, and neuroimaging measures of normal young adults. The main achievement is the first comprehensive account of the new data on TOH problem solving. Secondary achievements include new insights into the nature of goals; a new account of selection between competing alternatives; a new theory of the interaction between frontal and parietal areas that synthesizes existing theories of problem solving and executive function; a novel methodological focus on the design decisions that arise during model construction rather than numerically-valued free parameters; and additional support for the breadth claims of the 4CAPS cognitive architecture. This research sets the stage for future investigations of other populations such as young children, other tasks such as verbal fluency, other brain areas such as the temporal areas where declarative long-term memories reside, and other computational topics such as learning.
机译:河内塔(TOH)是经典的解决问题任务。在过去的二十年中,它在认知领域(例如执行功能),特殊人群(例如额叶病变患者)以及新的测量技术(例如功能性神经成像)中发现了新的应用。新数据的爆炸式增长还没有新的理论说明和计算模型能够与之匹敌。本文介绍了一种新的TOH问题解决模型。该模型针对正常年轻人的行为指标,额叶病变患者的行为指标以及正常年轻人的神经影像指标进行了评估。主要成就是首次全面解决了有关TOH问题解决的新数据。次要成就包括对目标性质的新见解;在竞争性替代品之间进行选择的新方法;额叶和顶叶区域相互作用的新理论,综合了解决问题和执行功能的现有理论;一种新颖的方法论焦点在于模型构建过程中出现的设计决策,而不是数值自由参数;以及对4CAPS认知体系结构广度要求的支持。这项研究为其他人群(如幼儿),其他任务(如口语流利性),其他大脑区域(如声明性长期记忆所在的颞叶区域)以及其他计算主题(如学习)的未来调查奠定了基础。

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