INFORMATION PROCESSING, SEARCH AND RETRIEVAL

描述(改编自申请人的摘要)：本提案 探讨有关内存存储的几个基本问题和 取回。主要目标是发展一种理论，能够 该领域的主要现象的定量预测和 拟在三个主要研究领域进行的研究的结果：1) 信息在内存中的表示形式。内存存储是否是复合存储，如 在许多神经网络和连接论模型中，或者像传统的那样分开 假设在调查者的理论中称为SAM(或Search of Associate 记忆)？不同级别的信息如何表示在一起， 比如特征、单词和句子？2)语境在存储中的作用 和取回。它在存储过程中何时发生更改，以及如何在 测试？环境的变化在多大程度上是遗忘的基础？3)时间 检索过程和响应时间。影响检索的因素有哪些 时间？什么模型解释了回应的时间？响应时间如何？ 在识别、线索回忆和自由回忆方面有关联吗？如何才能准确和 响应时间数据要一起建模吗？调查人员希望创造一种 能够预测这种现象的通用模型。

DESCRIPTION (ADAPTED FROM THE APPLICANT'S ABSTRACT): This proposal explores several fundamental issues concerning memory storage and retrieval. The primary goal is the development of a theory capable of quantitative predictions of the major phenomena in the field and the results from proposed studies in three main research areas: 1) The representation of information in memory. Is memory storage composite, as in many neural net and connectionist models, or separate, as traditionally assumed in the investigator's theory known as SAM (or Search of Associate Memory)? How are different levels of information represented together, such as features, words and sentences? 2) The role of context in storage and retrieval. When does it change during storage, and how is it chosen at test? To what degree does context change underlie forgetting? 3) The time course of retrieval and response times. What factors affect retrieval time? What model explains the time to respond? How are response times related in recognition, cued recall, and free recall? How can accuracy and response time data be modeled together? The investigator hopes to create a general model capable of predicting such phenomena.