Authors
Samuel Allen Alexander
Ohio State University (PhD)
Abstract
After generalizing the Archimedean property of real numbers in such a way as to make it adaptable to non-numeric structures, we demonstrate that the real numbers cannot be used to accurately measure non-Archimedean structures. We argue that, since an agent with Artificial General Intelligence (AGI) should have no problem engaging in tasks that inherently involve non-Archimedean rewards, and since traditional reinforcement learning rewards are real numbers, therefore traditional reinforcement learning probably will not lead to AGI. We indicate two possible ways traditional reinforcement learning could be altered to remove this roadblock.
Keywords AGI  reinforcement learning  Archimedean property  nonstandard analysis
Categories (categorize this paper)
Options
Edit this record
Mark as duplicate
Export citation
Find it on Scholar
Request removal from index
Revision history

Download options

PhilArchive copy

 PhilArchive page | Other versions
External links

Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
Through your library

References found in this work BETA

Utilitarianism.J. S. Mill - 1861 - Oxford University Press UK.
Non-Standard Analysis.Abraham Robinson - 1961 - North-Holland Publishing Co..
The Abilities of Man: Their Nature and Measurement.C. Spearman - 1927 - Journal of Philosophical Studies 2 (8):557-560.
Non-Archimedean Probability.Vieri Benci, Leon Horsten & Sylvia Wenmackers - 2013 - Milan Journal of Mathematics 81 (1):121-151.

View all 15 references / Add more references

Citations of this work BETA

Add more citations

Similar books and articles

Measurement Without Archimedean Axioms.Louis Narens - 1974 - Philosophy of Science 41 (4):374-393.
Self-Reinforcement and External Reinforcement in Visual-Motor Learning.Albert Marston - 1967 - Journal of Experimental Psychology 74 (1):93-98.
Some Determinants of Rigidity in Discrimination-Reversal Learning.Arnold H. Buss - 1952 - Journal of Experimental Psychology 44 (3):222.
The Growth of Learning During Non-Differential Reinforcement.Allen D. Calvin - 1953 - Journal of Experimental Psychology 46 (4):248.
Determinants of the Effects of Vicarious Reinforcement.Albert R. Marston - 1966 - Journal of Experimental Psychology 71 (4):550.

Analytics

Added to PP index
2020-02-15

Total views
11,079 ( #173 of 2,533,584 )

Recent downloads (6 months)
142 ( #4,126 of 2,533,584 )

How can I increase my downloads?

Downloads

My notes