Artificial Intelligence


Quantum Model of Emerging Grammars

Authors: Michail Zak

A special class of quantum recurrent nets (QRNs) simulating Markov chains with absorbing states is introduced. The absorbing states are exploited for pattern recognition: each class of patterns is attracted to a unique absorbing state. Due to quantum interference of patterns, each combination of patterns acquires its own meaning: it is attracted to a certain combination of absorbing states which is dierent from those of individual attractions. This fundamentally new eect can be interpreted as formation of a grammar, i.e., a set of rules assigning certain meaning to dierent combinations of patterns. It appears that there exists a class of unitary operators in which each member gives rise to a dierent arti®cial language with associated grammar.

Comments: 7 Pages.

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Submission history

[v1] 2016-02-18 21:11:43

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