DYNAMIC MODELS FOR LATENCY ACCURACY RELATIONS IN MEMORY

对心理信息的本质和对信息进行操作的认知过程的探索通常使用反应潜伏期或概率作为主要的依赖测量。这在一定程度上是因为，在业绩接近上限时，解释(例如)准确度降低的条件或反应概率的延迟显然是困难的。在过去的几十年里，涉及这两种绩效衡量标准的不同文献已经发展出相当精细的方法来评估心理社会的各个方面(基于反应概率)和对该信息进行操作的过程(基于反应潜伏期)。这项拟议的项目旨在为开发和测试一种理论语言提供初步步骤，以将各种认知任务中的反应潜伏期和概率联系起来。该理论将利用线性动态系统公式，并增加随机分量。它将被明确地发展为与现有的两个理论体系相联系，每个理论体系都探索了认知的基本特征。第一类系统因素技术(如Townsend&Nozawa，1995)研究的是基本过程特征，而第二类一般认知理论(如Ashby&Townend，1986)研究的是心理信息独立性的各个方面。此外，这项工作将应用于开发和测试与有意义的视觉对象(如脸)的记忆有关的假说的替代表征。

Explorations of the nature of psychological information and the cognitive processes that operate on information typically use either response latency or probability as a primary dependent measure. This is due partly to the clear difficulties associated with interpreting (for example) latencies in reduced-accuracy conditions or response probabilities when performance is near ceiling. Over the past few decades, the separate bodies of literature dealing with these two measures of performance have developed rather refined approaches to assessing aspects of psychosocial (on the basis of response probabilities) and the processes that operate on that information (on the basis of response latencies). The proposed project is intended to provide initial steps in developing and testing a theoretical language to relate response latency and probability in a variety of cognitive tasks. The theory will make use of linear dynamic systems formulations, augmented with stochastic components. It will be developed explicitly to make contact with two existing bodies of theory, each of which has explored fundamental characteristics of cognition. The first-systems factorial technology (e.g., Townsend & Nozawa, 1995)- addresses elementary processes characteristics, while the second-general recognition theory (e.g., Ashby & Townsend, 1986) addresses aspects of independence in psychological information. In addition, the work will be applied to developing and testing alternative representations for an hypothesis concerning memory for meaningful visual objects, such as faces.