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Jonker, Tanya R.; MacLeod, Colin M. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2017
Remembering the order of a sequence of events is a fundamental feature of episodic memory. Indeed, a number of formal models represent temporal context as part of the memory system, and memory for order has been researched extensively. Yet, the nature of the code(s) underlying sequence memory is still relatively unknown. Across 4 experiments that…
Descriptors: Memory, Recall (Psychology), Sequential Learning, Experiments
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Ligtvoet, Rudy – Psychometrika, 2012
In practice, the sum of the item scores is often used as a basis for comparing subjects. For items that have more than two ordered score categories, only the partial credit model (PCM) and special cases of this model imply that the subjects are stochastically ordered on the common latent variable. However, the PCM is very restrictive with respect…
Descriptors: Simulation, Item Response Theory, Comparative Analysis, Scores
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Xu, Jing; Griffiths, Thomas L. – Cognitive Psychology, 2010
Many human interactions involve pieces of information being passed from one person to another, raising the question of how this process of information transmission is affected by the cognitive capacities of the agents involved. Bartlett (1932) explored the influence of memory biases on the "serial reproduction" of information, in which one…
Descriptors: Stimuli, Memory, Bayesian Statistics, Prediction
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Chater, Nick; Brown, Gordon D. A. – Cognitive Science, 2008
The remarkable successes of the physical sciences have been built on highly general quantitative laws, which serve as the basis for understanding an enormous variety of specific physical systems. How far is it possible to construct universal principles in the cognitive sciences, in terms of which specific aspects of perception, memory, or decision…
Descriptors: Sciences, Scientific Principles, Models, Memory
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Botvinick, Matthew M. – Cognition, 2005
Knowledge concerning domain-specific regularities in sequential structure has long been known to affect recall for serial order. However, very little work has been done toward specifying the exact role such knowledge plays. The present article proposes a theory of serial recall in structured domains, based on Bayesian decision theory and a set of…
Descriptors: Prediction, Serial Learning, Bayesian Statistics, Serial Ordering