A Mathematical Formalization of Resource-Bounded Artificial General Intelligence (RB-AGI)

This paper proposes a formal mathematical approach to defining Artificial General Intelligence (AGI) by integrating physical resource constraints into universal algorithmic frameworks. While models like AIXI provide a theoretical foundation for universal intelligence, they often rely on uncomputable assumptions. This work introduces the concept of Resource-Bounded AGI (RB-AGI) to ground algorithmic information theory in physical reality.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-03-11
DOI
https://doi.org/10.5281/zenodo.18958830
Primary Topic
Computability, Logic, AI Algorithms
Type
article
Field-Weighted Citation Impact
0.00
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article

A Mathematical Formalization of Resource-Bounded Artificial General Intelligence (RB-AGI)

Julius Wittig
Zenodo (CERN European Organization for Nuclear Research)
Computability, Logic, AI Algorithms
article

A Mathematical Formalization of Resource-Bounded Artificial General Intelligence (RB-AGI)

Julius Wittig
article en

Abstract

This paper proposes a formal mathematical approach to defining Artificial General Intelligence (AGI) by integrating physical resource constraints into universal algorithmic frameworks. While models like AIXI provide a theoretical foundation for universal intelligence, they often rely on uncomputable assumptions. This work introduces the concept of Resource-Bounded AGI (RB-AGI) to ground algorithmic information theory in physical reality.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 26%
Computability, Logic, AI Algorithms
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