Computers in the study of learning: BOGART—A discovery and induction program for games

@inproceedings{Newman1965ComputersIT,
  title={Computers in the study of learning: BOGART—A discovery and induction program for games},
  author={Charles L. Newman and Leonard Uhr},
  booktitle={ACM '65},
  year={1965}
}
BOGART consists of a set of board game playing routines written in MAD (Michigan Algorithm Decoder) which is capable of learning to play board games. Examples of board games BOGART can learn to play, with widely varying degrees of proficiency, include Tic-Tac-Toe, hexapawn, GOMOKU, and checkers, and it can solve missionary and cannibal problems. The objective in constructing BOGART is to illustrate that it is possible to solve a large class of dissimilar problems by the use of learning… CONTINUE READING

Topics from this paper.

Citations

Publications citing this paper.
SHOWING 1-2 OF 2 CITATIONS