OpenCog Hyperon: A Framework for AGI at the Human Level and Beyond
Abstract
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.
Keywords
Cite
@article{arxiv.2310.18318,
title = {OpenCog Hyperon: A Framework for AGI at the Human Level and Beyond},
author = {Ben Goertzel and Vitaly Bogdanov and Michael Duncan and Deborah Duong and Zarathustra Goertzel and Jan Horlings and Matthew Ikle' and Lucius Greg Meredith and Alexey Potapov and Andre' Luiz de Senna and Hedra Seid Andres Suarez and Adam Vandervorst and Robert Werko},
journal= {arXiv preprint arXiv:2310.18318},
year = {2023}
}