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Direct linkBanerjee, Abhijit; Breza, Emily; Chandrasekhar, Arun G.; Mobius, Markus – National Bureau of Economic Research, 2019
The DeGroot model has emerged as a credible alternative to the standard Bayesian model for studying learning on networks, offering a natural way to model naive learning in a complex setting. One unattractive aspect of this model is the assumption that the process starts with every node in the network having a signal. We study a natural extension…
Descriptors: Alternative Assessment, Bayesian Statistics, Incidental Learning, Networks
Peer reviewedMundorf, Abigail M. D.; Lazarus, Linh T. T.; Uitvlugt, Mitchell G.; Healey, M. Karl – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2021
The temporal contiguity effect (TCE) is the tendency for the recall of one event to cue recall of other events originally experienced nearby in time. Retrieved context theory proposes that the TCE results from fundamental properties of episodic memory: binding of events to a drifting context representation during encoding and the reinstatement of…
Descriptors: Incidental Learning, Correlation, Recall (Psychology), Cues
