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CATEGORIZATION DYNAMICS IN A HYBRID CONNECTIONIST MODEL

CATEGORIZATION DYNAMICS IN A HYBRID CONNECTIONIST MODEL
混合连接模型中的分类动态
批准号:
6135378
负责人:
MICHAEL A ERICKSON
金额:
$3.24万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2000
资助国家:
美国
项目状态:
未结题
起止时间:
2000-07-01 至

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中文摘要
翻译
这项拟议的研究探索了混合系统解释正常人类类别学习行为的潜力。类别学习指的是一个人必须学会将刺激归类为离散的组的任何情况,例如医科学生必须学习将症状集合归类为疾病类别。该研究结合了Erickson和Kruschke提出的混合规则+样本分类模型和Usher和McClelland提出的知觉选择反应时行为模型。这一新的动态模型将通过应用于四个类别学习实验的数据来进行测试。前三个实验涉及一个规则加例外。在前两个实验中,我们将评估人们如何在这种环境下对可分离维度和整体维度的刺激进行分类。在第三个实验中,反应-信号范式将被用来在人们进行分类时打断他们,以便评估基于规则的表征和基于样本的表征之间的加工优先级如何随着时间的推移而变化。最后一项实验评估空间注意是否像视觉空间注意一样受到启动的影响。这项拟议的研究与我们对心理健康的了解有关,因为它将有助于确定正常成年人的潜在机制。此外,只要有证据表明,基于规则和范例的加工成分是可分离的,这项研究将对正常人和有智力障碍或脑损伤的人的教学方法和治疗产生广泛的影响。
英文摘要
The proposed research explores the potential of hybrid systems to account for normal human category-learning behavior. Category learning refers to any situation in which a person must learn to classify stimuli into discrete groups, such as a medical student who must learn to classify collections of symptoms into disease categories. The proposed research combines a hybrid, rule-plus- exemplar model of categorization developed by Erickson and Kruschke with a model of perceptual choice reaction time behavior developed by Usher and McClelland. This new, dynamic model will be tested by applying it to data from four category-learning experiments. The first three experiments involve a rule plus exceptions. In the first two, the way people learn to classify separable- and integral-dimension stimuli in this setting will be evaluated. In the third, a response-signal paradigm will be used to interrupt people while they are making classification in order to evaluate how processing priorities change over time between rule- and exemplar-based representations. The final experiment evaluates whether dimensional attention is subject to priming as is visual spatial attention. The proposed research is relevant to our knowledge of mental health insofar as it will help identify underlying mechanisms in normal adults. Moreover, to the degree that evidence is obtained showing that rule- and exemplar-based processing components are dissociable, this research will have broad implications for teaching methods and therapies for both normals and those with mental challenges or brain damage.
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CATEGORIZATION DYNAMICS IN A HYBRID CONNECTIONIST MODEL
  • 批准号:
    6391790
  • 项目类别:
  • 资助金额:
    $4.02万
  • 财政年份:
    2001
  • 负责人:
    MICHAEL A ERICKSON
  • 依托单位:
国内基金
海外基金
基于Situated Cognition的适应性概念设计方法学研究
  • 批准号:
    50505025
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    18.0万元
  • 批准年份:
    2005
  • 负责人:
    陈泳
  • 依托单位: