ANTI-AI ARCHIVE
ART-HISTORY NODE / 012 · 1959

Some Studies in Machine Learning Using the Game of Checkers

Some Studies in Machine Learning Using the Game of Checkers

Arthur Samuel

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.

SOURCE IMAGE#012
Arthur Samuel at a computer console with a checkers board, from IBM’s historical account. The source does not separately date this photograph.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

The games that helped AI evolve ↗

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

Boids ↗

Compare the methods, forms of control or presentation contexts of this entry and Boids.

Evolving Virtual Creatures ↗

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

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Original sources & further reading

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Some Studies in Machine Learning Using the Game of Checkers ↗

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

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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

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