Modeling Meaning Associated with Documental Entities: Introducing the Brussels Quantum Approach

Diederik Aerts, Massimiliano Sassoli de Bianchi, Sandro Sozzo, Tomas Veloz

Producción científica: Contribución a los tipos de informe/libroCapítulorevisión exhaustiva

1 Cita (Scopus)


We show that the Brussels operational-realistic approach to quantum physics and quantum cognition offers a fundamental strategy for modeling the meaning associated with collections of documental entities. To do so, we take the World Wide Web as a paradigmatic example and emphasize the importance of distinguishing the Web, made of printed documents, from a more abstract meaning entity, which we call the Quantum Web, or QWeb, where the former is considered to be the collection of traces that can be left by the latter, in specific measurements, similarly to how a non-spatial quantum entity, like an electron, can leave localized traces of impact on a detection screen. The double-slit experiment is extensively used to illustrate the rationale of the modeling, which is guided by how physicists constructed quantum theory to describe the behavior of the microscopic entities. We also emphasize that the superposition principle and the associated interference effects are not sufficient to model all experimental probabilistic data, like those obtained by counting the relative number of documents containing certain words and co-occurrences of words. For this, additional effects, like context effects, must also be taken into consideration.

Idioma originalInglés
Título de la publicación alojadaSTEAM-H
Subtítulo de la publicación alojadaScience, Technology, Engineering, Agriculture, Mathematics and Health
EditorialSpringer Nature
Número de páginas33
EstadoPublicada - 2019

Serie de la publicación

NombreSTEAM-H: Science, Technology, Engineering, Agriculture, Mathematics and Health
ISSN (versión impresa)2520-193X
ISSN (versión digital)2520-1948

Áreas temáticas de ASJC Scopus

  • Matemáticas aplicadas
  • Modelización y simulación
  • Ciencias Agrícolas y Biológicas General
  • Ingeniería General
  • Medicina General
  • Ciencia de la Computación General
  • Química General
  • Economía, econometría y finanzas (todo)


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