Quantum Cognitive Triad: Semantic Geometry of Context Representation

Surov, Ilya A.

doi:10.1007/s10699-020-09712-x

Cited by 14 publications

(42 citation statements)

References 131 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Detailed analysis of this mechanism is subject for future study. Upgrading quantum decision model from descriptive to predictive status is possible by supplying it with quantum phase regularities encoding semantic stability of cognitive patterns 144 , 145 .…”

Section: Discussionmentioning

confidence: 99%

Quantum semantics of text perception

Surov

Semenenko

Platonov

et al. 2021

Sci Rep

Self Cite

View full text Add to dashboard Cite

The paper presents quantum model of subjective text perception based on binary cognitive distinctions corresponding to words of natural language. The result of perception is quantum cognitive state represented by vector in the qubit Hilbert space. Complex-valued structure of the quantum state space extends the standard vector-based approach to semantics, allowing to account for subjective dimension of human perception in which the result is constrained, but not fully predetermined by input information. In the case of two distinctions, the perception model generates a two-qubit state, entanglement of which quantifies semantic connection between the corresponding words. This two-distinction perception case is realized in the algorithm for detection and measurement of semantic connectivity between pairs of words. The algorithm is experimentally tested with positive results. The developed approach to cognitive modeling unifies neurophysiological, linguistic, and psychological descriptions in a mathematical and conceptual structure of quantum theory, extending horizons of machine intelligence.

show abstract

Section: Discussionmentioning

confidence: 99%

Quantum semantics of text perception

Surov

Semenenko

Platonov

et al. 2021

Sci Rep

Self Cite

View full text Add to dashboard Cite

show abstract

“…This section describes mathematics and geometry of the considered information unit, known in quantum theory as qubit Jaeger (2007); Nielsen & Chuang (2010), following methodology of its application to behavioral modeling as described in Surov (2020). Sections 2.1 and 2.3 introduce relevant aspects of the model, with necessary generalization developed in Section 2.2.…”

Section: The Qubitmentioning

confidence: 99%

“…The minimal example is composition of three representations, enacted e.g. in perception of, and decision making in a novel context c based on known contexts a and b Surov (2020). This is realized via linear combinations of type…”

Section: Semantic Triadmentioning

confidence: 99%

“…In particular, qubit state allows to represent information contexts in spherical structure where polar coordinates stand for objective and subjective dimensions of cognition. This enables novel methods of analysis revealing regularities of semantics and decision making invisible from objectivist perspective Surov (2020). This work develops the qubit information structure supplementing it with a map of subjective dimension.…”

Section: Introductionmentioning

confidence: 99%

“…Plan of the paper Section 2 introduces essential background, including quantum representation of contexts and the qubit semantic space following Surov (2020). Section 3 describes the main innovation of this paper, namely a scheme of subjective semantic dimension based on a circular process structure.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Quantum Process Semantics

Surov¹

2021

Preprint

Self Cite

View full text Add to dashboard Cite

The paper describes a model of subjective goal-oriented semantics extending standard "view-from-nowhere" approach. Generalization is achieved by using a spherical vector structure essentially supplementing the classical bit with circular dimension, organizing contexts according to their subjective causal ordering. This structure, known in quantum theory as qubit, is shown to be universal representation of contextual-situated meaning at the core of human cognition. Subjective semantic dimension, inferred from fundamental oscillation dynamics, is discretized to six process-stage prototypes expressed in common language. Predicted process-semantic map of natural language terms is confirmed by the open-source word2vec data.

show abstract

Lexical Networks Constructed to Correspond to Students’ Short Written Responses: A Quantum Semantic Approach

Koponen

Södervik

Nousiainen

2023

Complex Networks and Their Applications XI

View full text Add to dashboard Cite

A simple method to construct lexical networks (lexicons) of how students use scientific terms in written texts is introduced. The method is based on a recently introduced quantum semantics generalization of a word-pair cooccurrence. Quantum semantics allows entangled co-occurrence, thus allowing to model the effect of subjective bias on weighting the importance of word cooccurrence. Using such a generalized word-pair co-occurrence counting, we construct students' lexicons of scientific (life-science) terms they use in their written responses to questions concerning food chains in life-science contexts. The method allows us to construct ensembles of lexicons that probabilistically simulate the variability of individual lexicons. The re-analyses of the written reports show that while sets of top-ranking terms contain nearly the same terms irrespective of details of the method used to count co-occurrences, the relative rankings of some key-terms may be different in quantum semantic analysis.

show abstract

Quantum Cognitive Triad: Semantic Geometry of Context Representation

Cited by 14 publications

References 131 publications

Quantum semantics of text perception

Quantum semantics of text perception

Quantum Process Semantics

Lexical Networks Constructed to Correspond to Students’ Short Written Responses: A Quantum Semantic Approach

Contact Info

Product

Resources

About