Samuel Checkers-playing Program
GPTKB entity
Statements (29)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:artificial_intelligence
gptkb:software |
| gptkbp:countryOfOrigin |
gptkb:United_States
|
| gptkbp:developer |
gptkb:Arthur_Samuel
|
| gptkbp:firstReleased |
1956
|
| gptkbp:genre |
game-playing program
|
| https://www.w3.org/2000/01/rdf-schema#label |
Samuel Checkers-playing Program
|
| gptkbp:influenced |
gptkb:game_AI
gptkb:reinforcement_learning AI research |
| gptkbp:influencedBy |
gptkb:machine_learning
|
| gptkbp:language |
English
|
| gptkbp:notableAchievement |
defeated amateur human players
demonstrated learning from experience |
| gptkbp:notableFor |
early machine learning
self-learning |
| gptkbp:platform |
gptkb:IBM_701
gptkb:IBM_704 |
| gptkbp:publicationYear |
1959
|
| gptkbp:publishedIn |
gptkb:Some_Studies_in_Machine_Learning_Using_the_Game_of_Checkers
|
| gptkbp:relatedTo |
gptkb:Deep_Blue
gptkb:AlphaGo |
| gptkbp:subject |
gptkb:checkers
|
| gptkbp:technique |
alpha-beta pruning
minimax algorithm self-play rote learning |
| gptkbp:bfsParent |
gptkb:Arthur_Samuel
|
| gptkbp:bfsLayer |
6
|