A quantum information retrieval approach to memory

Publication Type:
Conference Proceeding
Proceedings of the International Joint Conference on Neural Networks, 2012
Issue Date:
Filename Description Size
06252492.pdfPublished version771.54 kB
Adobe PDF
Full metadata record
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 Grdenfors' Conceptual Space approach and Humphreys et al.'s matrix model of memory. © 2012 IEEE.
Please use this identifier to cite or link to this item: