Powered by OpenAIRE graph
Found an issue? Give us feedback
ZENODOarrow_drop_down
ZENODO
Preprint . 2026
License: CC BY NC
Data sources: Datacite
ZENODO
Preprint . 2026
License: CC BY NC
Data sources: Datacite
ZENODO
Preprint . 2026
License: CC BY NC
Data sources: Datacite
versions View all 3 versions
addClaim

Homo Interaction: Toward a Post-Human Computational Ontology Based on Relational Coherence, Coevolutionary Dynamics, and Bidirectional Cognitive Enhancement

Authors: Arellano Urquiaga, Alexis;

Homo Interaction: Toward a Post-Human Computational Ontology Based on Relational Coherence, Coevolutionary Dynamics, and Bidirectional Cognitive Enhancement

Abstract

This paper proposes a reconceptualization of the human subject in the computational era through the integration of three complementary frameworks: relational ontology, coevolutionary dynamics, and bidirectional cognitive enhancement through wearable interfaces. The central thesis argues that relational coherence functions as a fundamental organizing principle in complex systems and that recognizing this principle requires a conceptual transition from Homo Rationalis, the isolated individual of Enlightenment thought, to Homo Interaction, a subject whose existence emerges from distributed relational fields. The work introduces the Coherence Paradox in human–AI systems, where excessive optimization for coherence suppresses pluralité, the diversity of interpretations necessary for adaptive knowledge growth. To address this paradox, the paper proposes wearable coherence interfaces capable of providing bidirectional feedback between individuals and collective relational fields. The framework integrates philosophical genealogy, systems theory, quantum-inspired formalization, and computational architecture. The proposed technological realization includes the Geometric Coherent Processing Unit (GCPU) and the IA Deus stack, designed to process relational states in multidimensional interaction spaces. The paper situates Homo Interaction as an emergent condition of contemporary human-AI ecosystems and proposes a new ontological framework for understanding intelligence as a relational and coevolutionary phenomenon.

Keywords

Pluralité, Collective Intelligence, Homo Interaction, Relational AI, Phase Synchronization, Post-Human Ontology, Complex Systems, Relational Coherence, Human-AI Coevolution, Distributed Cognition

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!