Historical context & research account
Samuel's checkers program demonstrates how a machine can improve its performance through learning without a programmer specifying every strategy step by step. The master situates this shift from explicit rules toward learning from experience within the longer technical history of data-driven visual systems and contemporary generative models.
Dates & version record
Date displayed for this node：1959 · Date recorded in the research master：1959
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Original sources & further reading
These links lead to the cited paper, article, institution or conference page. External texts retain their source languages.
Some Studies in Machine Learning Using the Game of Checkers
https://doi.org/10.1147/rd.33.0210
Current cited URL
Provenance, translation & verification
Archive node #010 · Historical node
Research masters & supplement references · 1
AI Art Genealogy Research Master · p. 6 · 010
Date as recorded: 1959
Some Studies in Machine Learning Using the Game of Checkers ↗
Some Studies in Machine Learning Using the Game of Checkers
Archive account adapted from the masters, not a full translation of the linked work. AI-assisted translation; human review pending.
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Cite this node
ANTI-AI ARCHIVE. Some Studies in Machine Learning Using the Game of Checkers. Art-history node #010. https://salondesrefuses.cn/en/art-history/010
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