INFORMATION PROCESSING, SEARCH AND RETRIEVAL

这项研究旨在阐明人类的基本机制， 信息处理和检索。 实证研究是 辅以定量模型，一般以 计算机模拟 这项研究是针对各种各样的 记忆、提取和遗忘的一般领域。 我们将 探索：1）检索的线索依赖性，特别是 强调的方式，其中线索结合时，探索长期 记忆; 2）检索时容量的限制，强调 3）在回忆中的搜索过程， 对策略搜索的影响; 4）记忆模型的方式 可以同时预测准确率数据和反应时间数据; 5） 单一模型是否能解释认知研究的结果， 类别学习研究和列表歧视研究; 6）如何回忆 句子的识别可以与回忆和识别有关， 构成这些句子的单词和元素; 7）是否检索 模型可以解释项目和列表学习的传统研究结果; 8)检索模型能否解释传统的 在学习多个列表时遇到的“干扰”。 在拟议的项目中将作出特别努力， 从经验和理论上来说， 我们将使用 从已经证明成功的SAM模型开始， 在回忆和识别领域预测大量数据， 但也应该探讨SAM模型与其他模型的关系。 我们的目标是制定一个全面而又简单一致的 人类信息基本机制的定量理论 加工、学习、记忆、检索和遗忘。

This research is designed to elucidate the fundamental mechanisms of human information processing and retrieval. The empirical research is supplemented by quantitative models, generally stated in the form of computer simulations. The research is directed toward a wide variety of areas in the general domain of memory, retrieval, and forgetting. We shall explore: 1) The cue-dependent nature of retrieval, with particular emphasis upon the ways in which cues are combined when probing long-term memory; 2) The limitations upon capacity when retrieving, with emphasis upon the role of attention to cues; 3) The process of search in recall and the effects upon search of strategies; 4) The ways in which memory models can predict both accuracy data and reaction time data simultaneously; 5) Whether a single model can explain the results from recognition studies, category learning studies, and list-discrimination studies; 6) How recall and recognition of sentences can be related to recall and recognition of the words and elements making up those sentences; 7) Whether a retrieval model can explain the traditional findings in learning of items and lists; 8) Whether retrieval models can explain the traditional findings of "interference" encountered in learning of multiple lists. A special effort will be made in the proposed project to tie all of these areas together, both empirically and theoretically. We shall use as a starting point the SAM model that has already proved successful in predicting a great deal of data in the domains of recall and recognition, but shall also explore the relationships of the SAM model to other models. Our goal is the development of a comprehensive yet simple and consistent quantitative theory for the basic mechanisms of human information processing, learning, memory, retrieval and forgetting.