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Title: Connecting the Dots: Mass, Energy, Word Meaning, and Particle-Wave Duality
Authors: Darányi, Sándor
Wittek, Peter
Department: University of Borås. Swedish School of Library and Information Science
Issue Date: Jun-2012
Citation: QI-12, 6th International Quantum Interaction Symposium. Paris, France.
Media type: text
Publication type: conference paper, peer reviewed
Keywords: quantum-like models
linguistic modelling
Subject Category: Subject categories::Mathematics::Computational Mathematics::Computer Science
Subject categories::Engineering and Technology::Computer and Information Science::Computer Science
Strategic Research Area: Library and information science
Abstract: With insight from linguistics that degrees of text cohesion are similar to forces in physics, and the frequent use of the energy concept in text categorization by machine learning, we consider the applicability of particle-wave duality to semantic content inherent in index terms. Wave-like interpretations go back to the regional nature of such content, utilizing functions for its representation, whereas content as a particle can be conveniently modelled by position vectors. Interestingly, wave packets behave like particles, lending credibility to the duality hypothesis. We show in a classical mechanics framework how metaphorical term mass can be computed.
Sustainable development: -
Appears in Collections:Konferensbidrag / Conference papers (BHS)

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