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License: CC BY
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Report . 2025
License: CC BY
Data sources: Datacite
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AGЪDAU: An Ontological Growth-Only Principle for Safe and Energy-Efficient Artificial General Intelligence

Authors: Khamikoev, Aslanbek Yurievich;

AGЪDAU: An Ontological Growth-Only Principle for Safe and Energy-Efficient Artificial General Intelligence

Abstract

AbstractThis work introduces AGЪDAU, a foundational ontological principle for artificial intelligence systems, defining a growth-only admissible action space. Unlike policies, reward shaping, or post-hoc safety filters, AGЪDAU constrains intelligence at the level of ontological possibility, excluding non-constructive actions from existence within the system’s decision space. The principle is formally defined, mathematically structured, and accompanied by provable theoretical consequences concerning computational complexity, energy efficiency, and intrinsic safety. AGЪDAU is voluntarily disclosed as an open foundational principle for the benefit of humanity, while preserving authorship, priority, and the right to protect derivative implementations. Contents PDF (canonical disclosure) TXT (plain-text archival copy)

Keywords

admissible action space, AGI safety, AI alignment, growth-only principle, action space pruning, planning, ontological constraint, energy efficiency, agentic systems

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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
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