The Holon System: Artificial General Intelligence as ‘Work on Command’

Bas Steunebrink, Jerry Swan, Eric Nivel
Proceedings of the Third International Workshop on Self-Supervised Learning, PMLR 192:120-126, 2022.

Abstract

Recent interest in the ‘Large Language Models’ of deep learning has led to widespread conjecture that artificial general intelligence (AGI) is thereby imminent. At the other end of the spectrum, it has also been claimed that ‘general’ intelligence cannot exist at all. In this extended abstract, we argue that both of these perspectives are misconceived. We provide a pragmatic definition of general intelligence, grounded in fundamental business and engineering requirements. We explain why a ‘deployed regression model’ (such as deep learning) cannot meet this criterion for generality of intelligence. We then proceed to describe the Holon system, designed and implemented to meet this criterion.

Cite this Paper

BibTeX
@InProceedings{pmlr-v192-steunebrink22a, title = {The {H}olon System: Artificial General Intelligence as ‘Work on Command’}, author = {Steunebrink, Bas and Swan, Jerry and Nivel, Eric}, booktitle = {Proceedings of the Third International Workshop on Self-Supervised Learning}, pages = {120--126}, year = {2022}, editor = {Thórisson, Kristinn R.}, volume = {192}, series = {Proceedings of Machine Learning Research}, month = {28--29 Jul}, publisher = {PMLR}, pdf = {https://proceedings.mlr.press/v192/steunebrink22a/steunebrink22a.pdf}, url = {https://proceedings.mlr.press/v192/steunebrink22a.html}, abstract = {Recent interest in the ‘Large Language Models’ of deep learning has led to widespread conjecture that artificial general intelligence (AGI) is thereby imminent. At the other end of the spectrum, it has also been claimed that ‘general’ intelligence cannot exist at all. In this extended abstract, we argue that both of these perspectives are misconceived. We provide a pragmatic definition of general intelligence, grounded in fundamental business and engineering requirements. We explain why a ‘deployed regression model’ (such as deep learning) cannot meet this criterion for generality of intelligence. We then proceed to describe the Holon system, designed and implemented to meet this criterion.} }
Endnote
%0 Conference Paper %T The Holon System: Artificial General Intelligence as ‘Work on Command’ %A Bas Steunebrink %A Jerry Swan %A Eric Nivel %B Proceedings of the Third International Workshop on Self-Supervised Learning %C Proceedings of Machine Learning Research %D 2022 %E Kristinn R. Thórisson %F pmlr-v192-steunebrink22a %I PMLR %P 120--126 %U https://proceedings.mlr.press/v192/steunebrink22a.html %V 192 %X Recent interest in the ‘Large Language Models’ of deep learning has led to widespread conjecture that artificial general intelligence (AGI) is thereby imminent. At the other end of the spectrum, it has also been claimed that ‘general’ intelligence cannot exist at all. In this extended abstract, we argue that both of these perspectives are misconceived. We provide a pragmatic definition of general intelligence, grounded in fundamental business and engineering requirements. We explain why a ‘deployed regression model’ (such as deep learning) cannot meet this criterion for generality of intelligence. We then proceed to describe the Holon system, designed and implemented to meet this criterion.
APA
Steunebrink, B., Swan, J. & Nivel, E.. (2022). The Holon System: Artificial General Intelligence as ‘Work on Command’. Proceedings of the Third International Workshop on Self-Supervised Learning, in Proceedings of Machine Learning Research 192:120-126 Available from https://proceedings.mlr.press/v192/steunebrink22a.html.

Related Material