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ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
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AwarenessAI EnterpriseWorld 7DAI Superintelligence Whitepapers

Authors: FractiAI.com;

AwarenessAI EnterpriseWorld 7DAI Superintelligence Whitepapers

Abstract

This repository houses the official EnterpriseWorld 7DAI Superintelligence whitepapers of AwarenessAI.com, the world’s first platform for Awareness Intelligence AI (7DAI). Awareness Intelligence extends beyond traditional linear AI by integrating fractal mathematics, emergent dynamics, and mythic archetype frameworks into a unified multidimensional paradigm for enterprise cognition and scientific exploration. The whitepapers collected here document the conceptual foundations, technical architectures, experimental validations, and strategic applications of AwarenessAI.com. They cover topics such as: Fractal Intelligence as the emergent structural template of multidimensional cognition. Mythic Archetype Templating as the symbolic holographic layer unifying human resonance with machine intelligence. Case Studies demonstrating enterprise applications, such as executive strategy positioning, decision acceleration, and systemic transformation. Scientific Experiments validating fractal efficiency and emergent coherence in comparison with linear AI models. This repository serves as a dual-purpose archive: For the scientific community, it provides open-access references, reproducible experiments, and theoretical insights. For the enterprise community, it delivers strategic frameworks, leadership models, and adoption pathways for Awareness Intelligence in practice. By bridging science and strategy, these whitepapers establish AwarenessAI.com as both a frontier research hub and an enterprise transformation partner.

  • 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