mlsanityData to 7 Oct 2026

OpenCog Hyperon: A Framework for AGI at the Human Level and Beyond

arXiv 2310.18318 ↗First posted 19 Sep 2023cs.AIcited by 9

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Abstract (arXiv)

An introduction to the OpenCog Hyperon framework for Artificiai General Intelligence is presented. Hyperon is a new, mostly from-the-ground-up rewrite/redesign of the OpenCog AGI framework, based on similar conceptual and cognitive principles to the previous OpenCog version, but incorporating a variety of new ideas at the mathematical, software architecture and AI-algorithm level. This review lightly summarizes: 1) some of the history behind OpenCog and Hyperon, 2) the core structures and processes underlying Hyperon as a software system, 3) the integration of this software system with the SingularityNET ecosystem's decentralized infrastructure, 4) the cognitive model(s) being experimentally pursued within Hyperon on the hopeful path to advanced AGI, 5) the prospects seen for advanced aspects like reflective self-modification and self-improvement of the codebase, 6) the tentative development roadmap and various challenges expected to be faced, 7) the thinking of the Hyperon team regarding how to guide this sort of work in a beneficial direction ... and gives links and references for readers who wish to delve further into any of these aspects.

Key facts. Cited by 9 papers in the map (data through 7 Oct 2026). Builds on 6 of its 52 references that are in the map. First posted on arXiv 19 Sep 2023.

Builds on

6 of 52 references.

References · 6

  1. 2022BrainCog: A Spiking Neural Network based Brain-inspired Cognitive Intelligence Engine for Brain-inspired AI and Brain Simulationcited by 32
  2. 2021The General Theory of General Intelligence: A Pragmatic Patternist Perspectivecited by 8
  3. 2017Toward a Formal Model of Cognitive Synergycited by 5
  4. 2020Folding and Unfolding on Metagraphscited by 4
  5. 2020Grounding Occam's Razor in a Formal Theory of Simplicitycited by 3
  6. 2021Patterns of Cognition: Cognitive Algorithms as Galois Connections Fulfilled by Chronomorphisms On Probabilistically Typed Metagraphscited by 2

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 2; 2025: 5; 2026: 2.

9 papers.