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Quantum aspects of semantic analysis and symbolic artificial intelligence

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Diederik Aerts1 and Marek Czachor2

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LETTER TO THE EDITOR

Modern approaches to semantic analysis if reformulated as Hilbert-space problems reveal formal structures known from quantum mechanics. A similar situation is found in distributed representations of cognitive structures developed for the purpose of neural networks. We take a closer look at similarities and differences between the above two fields and quantum information theory.


PACS

03.67.-a Quantum information

03.65.Fd Algebraic methods

89.70.-a Information and communication theory

MSC

68Q55 Semantics (See also 03B70, 06B35, 18C50)

68Txx Artificial intelligence

94A15 Information theory, general (See also 62B10)

81P68 Quantum computation and quantum cryptography (See also 68Q05, 94A60)

Subjects

Computational physics

Statistical physics and nonlinear systems

Quantum information and quantum mechanics

Dates

Issue 12 (26 March 2004)

Received 17 February 2004

Published 10 March 2004



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