Artificial Intelligence System for the Mus Card Game: Advanced Statistical Analysis and Algorithms
MUSIN is a project aimed at developing an artificial intelligence system capable of playing the card game Mus at a level comparable to an experienced human player. The program combines advanced statistical analysis with decision-making algorithms to adapt to different scenarios in the game, incorporating elements such as bluffing and real-time probability calculation.
This project explores how artificial intelligence can address strategic challenges in traditional card games, offering a technically advanced solution in the realm of social and recreational games.
- Probability calculations for winning hands.
- Strategic adaptation based on the game's state.
- Intuitive graphical interface.
- Advanced algorithms for real-time decision-making.
- Programming language: C
- Required tools:
- C compiler (e.g.,
gcc
) make
(optional)
- C compiler (e.g.,
- Clone or download the repository:
- Navigate to the project directory:
- Compile the program:
- Execute the program:
Using make
:
git clone https://github.com/mblucasm/musin.git
cd musin
make
./musin
Without make
:
git clone https://github.com/mblucasm/musin.git
cd musin
gcc -o musin src/main.c
./musin
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
- Attribution: The original author must be credited.
- NonCommercial: This material may not be used for commercial purposes.
- NoDerivatives: No derivative works based on this material are allowed.
- Full license details available at Creative Commons BY-NC-ND 4.0.
This project was developed by Lucas Martín Borrero.
For inquiries, suggestions, or special permissions, contact:
- Lucas Martín Borrero - mblucasm@gmail.com