Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Preprint . 2026
License: http://opensource.org/licenses/MIT
Data sources: ZENODO
ZENODO
Preprint . 2026
License: https://opensource.org/licenses/MIT
Data sources: Datacite
ZENODO
Preprint . 2026
License: https://opensource.org/licenses/MIT
Data sources: Datacite
 View all 2 versions
Claim

Interference Intelligence Layer (I.I.L.): A Homeostatic Architecture for Human–AI Joint Cognition

descriptionPublicationkeyboard_double_arrow_right Preprint 18 Jan 2026 English Publisher:Zenodo
Authors: Bojanowski, Łukasz;

doi: 10.5281/zenodo.18293336 , 10.5281/zenodo.18293337

Interference Intelligence Layer (I.I.L.): A Homeostatic Architecture for Human–AI Joint Cognition

Abstract

These documents describe the methodological and governance framework used in the Alliance Research Group projects, focusing on long-horizon human–AI collaboration. Core elements include conflict-based reasoning (Arena), memory systems (Mnemosyne), verification protocols, operational security (OPSEC), and design philosophy emphasizing low-entropy cognition. The materials are not theoretical results but infrastructural documentation intended for reproducibility, continuity, and responsible system evolution.

Keywords

Human-Ai collaboration, Interference Intelligence Layer, Manifesto, AI Safety, Joint cognition, Cognitive architecture

  • 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
Green