Introduction
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.
View full image ↗Arthur Samuel at a computer console with a checkers board, from IBM’s historical account. The source does not separately date this photograph.
IBM · Rights in the original image and document remain with their respective holders
Source · The games that helped AI evolve | IBM ↗RESEARCH ACCOUNT
A learning machine changes its judgements through play.
ANTI-AI ARCHIVE · Revised 2026-10-02
The game as an experimental environment
Samuel investigates machine learning through checkers. IBM’s project history describes a program improving its evaluations from play and acquiring experience through games between machines. A bounded board, rules and outcomes create a tractable experimental setting. This differs from open-ended aesthetic judgement, so winning a game is not a universal measure of creativity.
Section sources: The games that helped AI evolve
The cultural implications of evaluation
Generative art also involves choosing which outcomes to develop. Samuel offers a comparison: what does improvement mean when an objective is explicit? In making art, the artist’s choices, audience response and institutional recognition may diverge. There is no single objective that corresponds exactly to winning or losing a game.
Section sources: The games that helped AI evolve
Sources for this account
IBM’s institutional history of Samuel’s checkers program read; not a reproduction of all experiments in the 1959 paper.
This account expands the archive within the cited scope. Historical interpretation is not presented as the original author’s statement or as a proven causal influence. The account and translation are AI-assisted, pending independent human review. Section references identify evidence without claiming independent verification of every historical statement.
Continue with a comparative question
Compare the methods, forms of control or presentation contexts of this entry and Boids.
Compare the methods, forms of control or presentation contexts of this entry and Evolving Virtual Creatures.
Dates & version record
Date displayed for this node: 1959 · Historical date recorded for the source: 1959
These dates refer to the historical event or recorded version, not this page’s publication date. The original date precision and unresolved questions are retained.
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
Timeline entry #012 · Historical node
Research materials & 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 based on the listed research materials, not a full translation of the linked work. AI-assisted translation; independent human review pending.
The master’s research claims and dates await independent verification.
Cite this node
ANTI-AI ARCHIVE. Some Studies in Machine Learning Using the Game of Checkers. Art-history node #012. https://salondesrefuses.cn/en/art-history/010
For specific historical claims, also cite the original sources above and include your access date. This account is not a full translation of the linked work.
Adjacent nodes follow chronological order; adjacency does not establish direct influence or causation.

