Abstract
Modelling how a word is activated in human memory is an important requirement for determining the probability of recall of a word in an extra-list cueing experiment. Previous research assumed a quantum-like model in which the semantic network was modelled as entangled qubits, however the level of activation was clearly being overestimated. This paper explores three variations of this model, each of which are distinguished by a scaling factor designed to compensate the overestimation.
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Galea, D., Bruza, P., Kitto, K., Nelson, D. (2012). Modelling Word Activation in Semantic Networks: Three Scaled Entanglement Models Compared. In: Busemeyer, J.R., Dubois, F., Lambert-Mogiliansky, A., Melucci, M. (eds) Quantum Interaction. QI 2012. Lecture Notes in Computer Science, vol 7620. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35659-9_16
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DOI: https://doi.org/10.1007/978-3-642-35659-9_16
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-35658-2
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