Self-Generative Communication: A Theoretical and Operational Framework Based on Quantum Intelligent Partners for Transitioning from the Message Transmission Paradigm

Abstract The communication crisis in the digital age stems from the inherent limitations of the dominant "linear message transmission" paradigm. This paper introduces an alternative theoretical and operational framework named the Self-Generative Communication Network (SCQN), aiming to transition towards the "communicative co-creation" paradigm. The fundamental unit of this framework is the "Generative Nexus" — an interconnected whole comprising a human agent and a semi-autonomous intelligent companion. The computational core of SCQN is a "Communicative Probability Amplitudespace (CPA)"; a multidimensional mathematical space modeling all possible states for expressing an intent. Network coordination occurs in a decentralized manner through an "Unwritten Coordination Protocol" based on the dissemination and following of "Digital Pheromones" within the CPA. This paper specifically presents and elaborates on the concept of "Quantum Communicative Tunneling" as a key strategy for overcoming obstacles such as censorship, indifference, and the digital divide. The proposed framework, integrating insights from human-AI symbiosis theory, complex networks, and cognitive sciences, charts a path towards realizing a new fundamental right the right to realize authentic communicative intent. Finally, future research paths, including CPA simulation and experimental pilot implementations, are discussed.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-12-18
DOI
https://doi.org/10.5281/zenodo.17981733
Primary Topic
Embodied and Extended Cognition
Type
article
Field-Weighted Citation Impact
0.00
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article

Self-Generative Communication: A Theoretical and Operational Framework Based on Quantum Intelligent Partners for Transitioning from the Message Transmission Paradigm

Zenodo (CERN European Organization for Nuclear Research)
Embodied and Extended Cognition
article

Self-Generative Communication: A Theoretical and Operational Framework Based on Quantum Intelligent Partners for Transitioning from the Message Transmission Paradigm

article en

Abstract

Abstract The communication crisis in the digital age stems from the inherent limitations of the dominant "linear message transmission" paradigm. This paper introduces an alternative theoretical and operational framework named the Self-Generative Communication Network (SCQN), aiming to transition towards the "communicative co-creation" paradigm. The fundamental unit of this framework is the "Generative Nexus" — an interconnected whole comprising a human agent and a semi-autonomous intelligent companion. The computational core of SCQN is a "Communicative Probability Amplitudespace (CPA)"; a multidimensional mathematical space modeling all possible states for expressing an intent. Network coordination occurs in a decentralized manner through an "Unwritten Coordination Protocol" based on the dissemination and following of "Digital Pheromones" within the CPA. This paper specifically presents and elaborates on the concept of "Quantum Communicative Tunneling" as a key strategy for overcoming obstacles such as censorship, indifference, and the digital divide. The proposed framework, integrating insights from human-AI symbiosis theory, complex networks, and cognitive sciences, charts a path towards realizing a new fundamental right the right to realize authentic communicative intent. Finally, future research paths, including CPA simulation and experimental pilot implementations, are discussed.

Zenodo (CERN European Organization for Nuclear Research)
Peace, Justice and strong institutions
Openalex Percentile: Top 34%
Embodied and Extended Cognition
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Self-Generative Communication: A Theoretical and Operational Framework Based on Quantum Intelligent Partners for Transitioning from the Message Transmission Paradigm · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS