AUT Principles and Applications of Artificial Intelligence course (Fall 2020) projects
Solve Sudoku with Python using the CSF approach
second project at AUT Artificial Intelligence course (Fall 2020)
CSP-Sudoku solver
A futoshiki solver tool using backtracking with some pruning methods.
This project is a sudoku-solver implement by Constraint satisfaction problem. We add the colour option to our sudoku problem as if the number of a place is bigger than other neighbours, the colour of that place must be higher in a given colour's priority. We use the Constraint satisfaction problem(CSP), as we said before, in additional apply deg…
we slove sudoku tables as a CSP problem using Backtrack algorithm with forward Checking and MRV and Degree heuristics.
Solve Sudoku as a Constraint Satisfaction Problem
This project solves a Futoshiki Board given an input files using the least number of moves. Backtracking, forward checking, the mrv heuristic, and the degree heuristic was used.
Solving Sudoku puzzle with CSP
An AI for solving Sudoku. 🤖 ⚡️
A program to solve Sudoku with Backtracking.
Backtracking Algo optimized with forward checking, MRV heuristics, degree heuristics and LCV-heuristics
CSP Map Coloring
This is a sudoku solver by doing backtracking search with forward checking using an MRV and degree heuristic. This was worked on in a group of myself and two other members.
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