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Samuel’s Checkers Player

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Encyclopedia of Machine Learning and Data Mining
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Definition

Samuel’s Checkers Player is the first machine learning system that received public recognition. It pioneered many important ideas in game playing and machine learning. The two main papers describing his research (Samuel 19591967) became landmark papers in Artificial Intelligence. In one game, the resulting program was able to beat one of America’s best players of the time.

Description of the Learning System

Samuel’s checkers player featured a wide variety of learning techniques. First, his checkers player remembered positions that it frequently encountered during play. This simple form of rote learning allowed it to save time, and to search deeper in subsequent games whenever a stored position was encountered on the board or in some line of calculation. Next, it featured the first successful application of what is now known as Reinforcement Learningfor tuning the weights of its evaluation function. The program trained itself by playing against a stable copy of itself....

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Recommended Reading

  • Samuel AL (1959) Some studies in machine learning using the game of checkers. IBM J Res Develop 3(3):211–229

    Article  MathSciNet  Google Scholar 

  • Samuel AL (1967) Some studies in machine learning using the game of checkers. II – recent progress. IBM J Res Develop 11(6):601–617

    Article  Google Scholar 

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© 2017 Springer Science+Business Media New York

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(2017). Samuel’s Checkers Player. In: Sammut, C., Webb, G.I. (eds) Encyclopedia of Machine Learning and Data Mining. Springer, Boston, MA. https://doi.org/10.1007/978-1-4899-7687-1_740

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