Skip to content

An AI course project to implement and evaluate game players for Nine and Six Men's Morris using alpha-beta pruning with depth-limited search. The factors taken into consideration for an evaluation function that estimated the outcome for a player upon reaching the depth cut-off were inspired by a paper, “Nine Men’s Morris: Evaluation Functions”, …

Notifications You must be signed in to change notification settings

angmun/Nine-Six-Mens-Morris

Repository files navigation

Six and Nine Men's Morris with Alpha-Beta Pruning

An AI course project to implement and evaluate game players for Nine and Six Men's Morris using alpha-beta pruning with depth-limited search. The factors taken into consideration for an evaluation function that estimated the outcome for a player upon reaching the depth cut-off were inspired by a paper, “Nine Men’s Morris: Evaluation Functions”, written by Simona-Alexandra Petcu and Stefan Holban. The paper containing the evaluation of the project is also included in the repository.

About

An AI course project to implement and evaluate game players for Nine and Six Men's Morris using alpha-beta pruning with depth-limited search. The factors taken into consideration for an evaluation function that estimated the outcome for a player upon reaching the depth cut-off were inspired by a paper, “Nine Men’s Morris: Evaluation Functions”, …

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages