Work

A quantum information retrieval approach to memory

Year: 2012

Type: conference-paper

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.

Source: 2022 International Joint Conference on Neural Networks (IJCNN)

DOI: 10.1109/ijcnn.2012.6252492

Authors: Kirsty Kitto, Peter Bruza, Liane Gabora

Institutions: Queensland University of Technology, University of British Columbia, University of British Columbia, Okanagan Campus

Language: English

Topic: Cognitive Computing and Networks

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W2018311349

FWCI: 0.981

Cites: 56

Cited by: 11

Related to: 10