Quantum Aspects of Semantic Analysis and Symbolic Artificial Intelligence
Quantum Physics
2016-09-08 v4 Computation and Language
Abstract
Modern approaches to semanic analysis if reformulated as Hilbert-space problems reveal formal structures known from quantum mechanics. Similar situation is found in distributed representations of cognitive structures developed for the purposes of neural networks. We take a closer look at similarites and differences between the above two fields and quantum information theory.
Cite
@article{arxiv.quant-ph/0309022,
title = {Quantum Aspects of Semantic Analysis and Symbolic Artificial Intelligence},
author = {Diederik Aerts and Marek Czachor},
journal= {arXiv preprint arXiv:quant-ph/0309022},
year = {2016}
}
Comments
version accepted in J. Phys. A (Letter to the Editor)