Doctoral Dissertation Research: Knowledge-Based Categorization of Maps

大卫K.南卡罗来纳州巴顿大学论文改进研究：基于知识的地图分类本研究将通过检查地图阅读环境中基于知识的类别学习来促进对分类作为认知过程的理解。 将审查各种分类模型。 三个实验和一个模拟将进行评估个人功能和更广泛的环境概念之间的联系，调查现有的知识对类别学习的影响，并测试一个网络模型的类别知识的结构。 本研究将对理解地图阅读中的相似/比较判断、自上而下信息在地图阅读中的作用、类别结构对地图信息回忆的影响以及网络模型在认知理论评价中的应用等方面做出重要贡献。

David K. Patton University of South Carolina Dissertation Improvement Research: Knowledge-Based Categorization of Maps This study will advance understanding of categorization as a cognitive process by examining knowledge-based category learning within a map reading environment. Various models of categorization will be examined. Three experiments and a simulation will be conducted to evaluate the connection between individual features and broader environmental concepts, investigate effects of existing knowledge on category learning, and test a structure of category knowledge with a network model. The study will make important contributions to understanding similarity/comparison judgments in map reading, effects of top-down information in map reading, effects of category structure on recalling map information, and the use of network models in evaluating theories of cognition.