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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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    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 Gardenfors’ Conceptual Space approach and Humphreys et al.’s matrix model of memory.

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    ID Code: 49675
    Item Type: Conference Paper
    Additional URLs:
    Keywords: context, conceptual space, matrix model , memory, cognitive models
    DOI: 10.1109/IJCNN.2012.6252492
    Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Simulation and Modelling (080110)
    Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > LIBRARY AND INFORMATION STUDIES (080700) > Information Retrieval and Web Search (080704)
    Australian and New Zealand Standard Research Classification > PSYCHOLOGY AND COGNITIVE SCIENCES (170000) > COGNITIVE SCIENCE (170200) > Linguistic Processes (incl. Speech Production and Comprehension) (170204)
    Australian and New Zealand Standard Research Classification > PSYCHOLOGY AND COGNITIVE SCIENCES (170000) > COGNITIVE SCIENCE (170200) > Neurocognitive Patterns and Neural Networks (170205)
    Divisions: Current > Schools > School of Information Systems
    Current > QUT Faculties and Divisions > Science & Engineering Faculty
    Deposited On: 13 Apr 2012 10:40
    Last Modified: 26 Oct 2012 15:49

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