Quantum Process Semantics

Surov, Ilya A.

doi:10.20944/preprints202109.0006.v1

Cited by 2 publications

(1 citation statement)

References 180 publications

(114 reference statements)

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“…Goal-plan, Progress, and Sensing account for less expressive, but distinct parts of the behavioral cycle enabling transitions between three main stages. The resulting sixstage process taxonomy is considered optimal for behavioral control due to matching with a normal capacity of human attention, which enables to capture at most seven items simultaneously [38].…”

Section: Resultsmentioning

confidence: 99%

Novel Data Science Approach for Emotion Analytics: from Machine Learning to Quantum Cognition

Rika¹,

Itzhak²,

Bertha³

2023

Artificial Intelligence and Communication Technologies

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In the field of People Intelligence, Emotion Analytics is one of the emerging and growing challenges. A prominent study field is analyzing an individual's emotional state from textual data, as well as recognizing emotions from audio and video recordings. Current Artificial Intelligence approaches for Emotion Analytics based on machine and deep learning and neural networks based on classic data science approaches assume rational people's decision-making process. People's decision-making is irrational. As a result of recent quantum cognition advancements, we show that emotional judgments from one modality may be incompatible with judgments from another, and they cannot be assessed together to produce a final judgment. As a result, the cognitive process exhibits "quantum-like" biases that classical AI approaches based on probability models challenged to analyze. As a result, we offer an emotion analytics approach based on the quantum data science method for predicting people's emotions by a fundamentally novel assessment method.

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Section: Resultsmentioning

confidence: 99%

Novel Data Science Approach for Emotion Analytics: from Machine Learning to Quantum Cognition

Rika¹,

Itzhak²,

Bertha³

2023

Artificial Intelligence and Communication Technologies

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Natural Code of Subjective Experience

Surov

2022

Biosemiotics

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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.

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Quantum Process Semantics

Cited by 2 publications

References 180 publications

Novel Data Science Approach for Emotion Analytics: from Machine Learning to Quantum Cognition

Novel Data Science Approach for Emotion Analytics: from Machine Learning to Quantum Cognition

Natural Code of Subjective Experience

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