A Quantum Information Retrieval Approach to Memory

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.

8 pages; 2 figures

References in corpus (4)

• Revenge of the 'Neurds': Characterizing Creative Thought in terms of the Structure and Dynamics of Memory
• Quantum Logic of Semantic Space: An Exploratory Investigation of Context Effects in Practical Reasoning
• Creative Interference and States of Potentiality in Analogy Problem Solving
• A Quantum Logic of Down Below