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Towards a quantum World Wide Web

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journal contribution
posted on 2018-05-18, 08:53 authored by Diederik Aerts, Jonito Aerts Arguëlles, Lester Beltran, Lyneth Beltran, Isaac Distrito, Massimiliano Sassolide de Bianchi, Sandro Sozzo, Tomas Veloz
We elaborate a quantum model for the meaning associated with corpora of written documents, like the pages forming the World Wide Web. To that end, we are guided by how physicists constructed quantum theory for microscopic entities, which unlike classical objects cannot be fully represented in our spatial theater. We suggest that a similar construction needs to be carried out by linguists and computational scientists, to capture the full meaning carried by collections of documental entities. More precisely, we show how to associate a quantum-like ‘entity of meaning’ to a ‘language entity formed by printed documents’, considering the latter as the collection of traces that are left by the former, in specific results of search actions that we describe as measurements. In other words, we offer a perspective where a collection of documents, like the Web, is described as the space of manifestation of a more complex entity – the QWeb – which is the object of our modeling, drawing its inspiration from previous studies on operational-realistic approaches to quantum physics and quantum modeling of human cognition and decision-making. We emphasize that a consistent QWeb model needs to account for the observed correlations between words appearing in printed documents, e.g., co-occurrences, as the latter would depend on the ‘meaning connections’ existing between the concepts that are associated with these words. In that respect, we show that both ‘context and interference (quantum) effects’ are generally required to explain all possible probabilities calculated by counting the relative number of documents containing certain words and co-occurrences of words.

History

Citation

Theoretical Computer Science, 2018

Author affiliation

/Organisation/COLLEGE OF SOCIAL SCIENCES, ARTS AND HUMANITIES/School of Business

Version

  • AM (Accepted Manuscript)

Published in

Theoretical Computer Science

Publisher

Elsevier

issn

0304-3975

Acceptance date

2018-03-15

Copyright date

2018

Available date

2019-03-19

Publisher version

https://www.sciencedirect.com/science/article/pii/S0304397518301804?via=ihub

Notes

The file associated with this record is under embargo until 12 months after publication, in accordance with the publisher's self-archiving policy. The full text may be available through the publisher links provided above.

Language

en

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