Quantum logic in laughter: standup and sketch comedy

Can a quantum structure be directly identified in laughter? Here, we show that the basic structure of quantum logic can be identified in standup comedies and sketches. We analyzed scripts from standup comedies and sketches, employing a method to reveal the algebraic structures hidden within the semantic relations of the utterances. Our findings revealed that quantum logic is present in many instances of laughter, including punchlines. Moreover, we taught this method to ChatGPT, which corroborated our findings, indicating that the result is objectively significant. Our method and results, which directly address contextual relationships and identify quantum logic, are groundbreaking. We provide a novel methodology for quantum cognitive science and open new directions for research on sensations and emotions in Artificial Intelligence. Our method identifies contextual quantum-logical structure, but does not aim to model human-level general intelligence.

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Publication Details

Journal
Quantum Machine Intelligence
Published
2026-03-04
DOI
https://doi.org/10.1007/s42484-026-00358-9
Primary Topic
Humor Studies and Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

Quantum logic in laughter: standup and sketch comedy

Andrei Khrennikov, Andrew Adamatzky, Yuta Jin, Vasileios Basios et al.
Quantum Machine Intelligence
Humor Studies and Applications
article

Quantum logic in laughter: standup and sketch comedy

Andrei Khrennikov, Andrew Adamatzky, Yuta Jin, Vasileios Basios, Yukio-Pegio Gunji, Takumi Nakano
article en

Abstract

Can a quantum structure be directly identified in laughter? Here, we show that the basic structure of quantum logic can be identified in standup comedies and sketches. We analyzed scripts from standup comedies and sketches, employing a method to reveal the algebraic structures hidden within the semantic relations of the utterances. Our findings revealed that quantum logic is present in many instances of laughter, including punchlines. Moreover, we taught this method to ChatGPT, which corroborated our findings, indicating that the result is objectively significant. Our method and results, which directly address contextual relationships and identify quantum logic, are groundbreaking. We provide a novel methodology for quantum cognitive science and open new directions for research on sensations and emotions in Artificial Intelligence. Our method identifies contextual quantum-logical structure, but does not aim to model human-level general intelligence.

Quantum Machine IntelligenceVol. 8(1)
Université Libre de Bruxelles (BE), Waseda University (JP), University of the West of England (GB), Linnaeus University (SE)
Waseda University
Openalex Percentile: Top 44%
Humor Studies and Applications
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