@incollection{OLoughlin2015,
abstract = {Context plays a crucial role in learning and memory, but a satisfactory characterization of this role in models of memory remains elusive. Classical and recent studies show that context cannot be mean- ingfully treated as either the figure or the ground, the noise or the signal, in memory models. This impasse belies certain cognitivist assumptions common to traditional cognitive science. A number of postcognitivist movements in philosophy and cognitive science have offered effective cri- tiques of the basic framework, often borrowed in memory science, that depicts the human cognitive system as a dimensionless executive control unit receiving and transforming signals as input from the environment. These revisionary movements have also offered up alternative dynamic approaches to cognitive modeling and explanation, which can and should be deployed in memory science in order to resolve the impasse surround- ing the modeling of context and memory.},
author = {O'Loughlin, Ian},
booktitle = {Modeling and Using Context: 9th International and Interdisciplinary Conference, CONTEXT 2015 Lanarca, Cyprus, November 2-6, 2015 Proceedings},
editor = {Christiansen, Henning and Stojanovic, Isidora and Papadopoulos, George A.},
file = {:Users/michaelk/Library/Application Support/Mendeley Desktop/Downloaded/O'Loughlin - 2015 - Neither noise nor signal The role of context in memory models.pdf:pdf},
pages = {398--409},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
title = {{Neither noise nor signal: The role of context in memory models}},
volume = {9405},
year = {2015}
}

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