Use of dynamic simulation to analyze storage and retrieval strategies

1999 ◽  
Author(s):  
Mark A. Kosfeld ◽  
Timothy D. Quinn
Keyword(s):  
Dynamic Simulation ◽  
Storage And Retrieval ◽  
Retrieval Strategies

Semantically Clustered Words Are Stored With Integrated Context

2009 ◽  
Vol 217 (3) ◽  
pp. 136-148 ◽  
Author(s):  
Arndt Bröder
Keyword(s):  
Construct Validity ◽  
Source Memory ◽  
Source Monitoring ◽  
Model Parameters ◽  
Storage And Retrieval ◽  
Contextual Features ◽  
Clustering Model ◽  
Retrieval Strategies

Source memory (i.e., memory for context) has been studied with recognition tasks almost exclusively. However, encoding context affects recall stronger than recognition, presumably because of more complex retrieval strategies in the former task. An extension of Batchelder and Riefer (1980) pair-clustering model is proposed which is intended to measure the storage and retrieval of clusterable word pairs as well as the memory for the sources in which these were presented. In two experiments, the construct validity of the central model parameters is demonstrated. Furthermore, there was a strong stochastic dependency between recalling the sources of the first and the second word of a clustered pair, respectively, suggesting that not only semantic but also contextual features are bound together in clustered pairs. Advantages of using recall tests in source monitoring research are discussed.

Indirect measurements in micro-space with the EM

1995 ◽  
Vol 53 ◽  
pp. 598-599
Author(s):  
Sterling P. Newberry
Keyword(s):  
Electron Microscope ◽  
Standard Model ◽  
Particle Physics ◽  
Information Storage ◽  
Storage Space ◽  
Indirect Measurements ◽  
Storage And Retrieval ◽  
Adequate Information ◽  
Compelling Reason ◽  
The Standard Model

At the 1958 meeting of our society, then known as EMSA, the author introduced the concept of microspace and suggested its use to provide adequate information storage space and the use of electron microscope techniques to provide storage and retrieval access. At this current meeting of MSA, he wishes to suggest an additional use of the power of the electron microscope.The author has been contemplating this new use for some time and would have suggested it in the EMSA fiftieth year commemorative volume, but for page limitations. There is compelling reason to put forth this suggestion today because problems have arisen in the “Standard Model” of particle physics and funds are being greatly reduced just as we need higher energy machines to resolve these problems. Therefore, any techniques which complement or augment what we can accomplish during this austerity period with the machines at hand is worth exploring.

A Hierarchy of Multinomial Models for Multidimensional Source Monitoring

Methodology ◽  
2005 ◽  
Vol 1 (1) ◽  
pp. 2-17 ◽  
Author(s):  
Thorsten Meiser
Keyword(s):  
Cognitive Processes ◽  
Source Monitoring ◽  
Source Information ◽  
Model Comparisons ◽  
Storage And Retrieval ◽  
Multinomial Processing Tree ◽  
Multinomial Models ◽  
Hierarchical Relationship ◽  
Statistical Framework ◽  
Tree Models

Abstract. Several models have been proposed for the measurement of cognitive processes in source monitoring. They are specified within the statistical framework of multinomial processing tree models and differ in their assumptions on the storage and retrieval of multidimensional source information. In the present article, a hierarchical relationship is demonstrated between multinomial models for crossed source information ( Meiser & Bröder, 2002 ), for partial source memory ( Dodson, Holland, & Shimamura, 1998 ) and for several sources ( Batchelder, Hu, & Riefer, 1994 ). The hierarchical relationship allows model comparisons and facilitates the specification of identifiability conditions. Conditions for global identifiability are discussed, and model comparisons are illustrated by reanalyses and by a new experiment on the storage and retrieval of multidimensional source information.

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