Skip to main content

Nine Men's Morris Challenge

This content is related to the annual Nine Men's Morris Challenge, which is part of the course of Foundaments of Artificial Intelligence M

2016/2017 Challenge Results

Winner The winner of the 2016/2017 competition, with 9 wins and 5 draws out of 14 matches, is called Akatsuki. A sum up of the competition results can be found in the attached file "2017end". The detailed results are illustrated in the file "2017results", while the output of each match is available in the file "2017matches".   Partecipant Teams Any student who has partecipated is free to notify any inaccuracy to Andrea Galassi ( a.galassi *at* unibo.it ) Team 1: MoulinBleu   Team 2: Akatsuki  

2015/2016 Challenge Results

Winner

The winner of the 2015/2016 competition, with 14 wins out of 18, is called Samaritan.

 

Partecipant Teams

Any student who has partecipated is free to notify any inaccuracy to Andrea Galassi ( andrea.galassi7 *at* unibo.it )

Team 1: Alphabot

Binary representation of the board using two integers.

Iterative deepening search with alpha-beta pruning.

Multi-threaded idle-time searching.

The heuristic function is based on the value of the player's checkers.

Result achived: 10/18 wins.

2014/2015 Challenge Results

Winner

The winner of the 2014/2015 competition, with 12 wins out of 12, is called DeepMill and is available at Github.

 

Partecipant Teams

Any student who has partecipated is free to notify any inaccuracy to Andrea Galassi ( andrea.galassi7 *at* unibo.it )

Team 1: negaGlik

Project written in C language.

Uses the NegaScout algorithm to perform a state space search.

Nine Men's Morris Challenge

Each year, as part of the course of Foundaments of Artificial Intelligence M, groups of students are invited to design a little prototype of an Artificial Intelligence able to play to the game of Nine Men's Morris, a popular board game also known as Mill, Cowboy Checkers, Merrils, Mulino, Mulinello Grisia, Tris, or Filetto.

 

2016/2017 Challenge

Slides of the current challenge (in italian): 2017 slides

 

Nine Men's Morris Good Moves Dataset

Brief History of this dataset

This data set has been created by Andrea Galassi, as part of his master thesis in Computer Science Engineering ("Ingegneria Informatica", in italian). Please feel free to contact him (a.galassi *at* unibo.it) or his thesis supervisors (Paola Mello, paola.mello *at* unibo.it, Federico Chesani federico.chesani *at* unibo.it) for further questions.

Syndicate content