A quantum information retrieval approach to memory
Kitto, Kirsty, Bruza, Peter D., & Gabora, Liane (2012) A quantum information retrieval approach to memory. In Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN 2012), IEEE, Brisbane Convention Centre , Brisbane, Qld. (In Press)
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As computers approach the physical limits of information storable in memory, new methods will be needed to further improve information storage and retrieval. We propose a quantum inspired vector based approach, which offers a contextually dependent mapping from the subsymbolic to the symbolic representations of information. If implemented computationally, this approach would provide exceptionally high density of information storage, without the traditionally required physical increase in storage capacity. The approach is inspired by the structure of human memory and incorporates elements of Gardenfors’ Conceptual Space approach and Humphreys et al.’s matrix model of memory.
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