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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Kitto, K. Bruza, P. Gabora, L. |
| Copyright Year | 2012 |
| Description | Author affiliation: Psychology and Computer Science, University of British Columbia, Kelowna, Canada (Gabora, L.) || School of Information Systems, Queensland University of Technology, Brisbane, Australia (Kitto, K.; Bruza, P.) |
| Abstract | 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 Gärdenfors' Conceptual Space approach and Humphreys et al.'s matrix model of memory. |
| Starting Page | 1 |
| Ending Page | 8 |
| File Size | 790056 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781467314886 |
| ISSN | 21614393 |
| e-ISBN | 9781467314909 |
| e-ISBN | 9781467314893 |
| DOI | 10.1109/IJCNN.2012.6252492 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-06-10 |
| Publisher Place | Australia |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Vectors Context Neurons Context modeling Humans Computational modeling Computer architecture |
| Content Type | Text |
| Resource Type | Article |
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