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An Axiomatic Approach to General Intelligence: SANC(E3) Self-organizing Active Network of Concepts with Energy E3

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Bibliographic Details
Published in:Journal of Artificial General Intelligence
Format: Online Article RSS Article
Published: 2026
Subjects:
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container_title Journal of Artificial General Intelligence
description
discipline_display Artificial Intelligence
discipline_facet Artificial Intelligence
format Online Article
RSS Article
genre Journal Article
id rss_article:83322
institution FRELIP
journal_source_facet Journal of Artificial General Intelligence
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle An Axiomatic Approach to General Intelligence: SANC(E3) Self-organizing Active Network of Concepts with Energy E3
Artificial Intelligence
General
Artificial Intelligence
sub_discipline_display General
sub_discipline_facet General
subject_display Artificial Intelligence
General
Artificial Intelligence
Artificial Intelligence
General
Artificial Intelligence
subject_facet Artificial Intelligence
General
Artificial Intelligence
title An Axiomatic Approach to General Intelligence: SANC(E3) Self-organizing Active Network of Concepts with Energy E3
title_auth An Axiomatic Approach to General Intelligence: SANC(E3) Self-organizing Active Network of Concepts with Energy E3
title_full An Axiomatic Approach to General Intelligence: SANC(E3) Self-organizing Active Network of Concepts with Energy E3
title_fullStr An Axiomatic Approach to General Intelligence: SANC(E3) Self-organizing Active Network of Concepts with Energy E3
title_full_unstemmed An Axiomatic Approach to General Intelligence: SANC(E3) Self-organizing Active Network of Concepts with Energy E3
title_short An Axiomatic Approach to General Intelligence: SANC(E3) Self-organizing Active Network of Concepts with Energy E3
title_sort an axiomatic approach to general intelligence: sanc(e3) self-organizing active network of concepts with energy e3
topic Artificial Intelligence
General
Artificial Intelligence
url https://sciendo.com/article/10.2478/jagi-2026-0001