This project is a simulation of a well known constraint satisfaction problem. It solves it in sudoku and n-queens games.
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Updated
Sep 3, 2016 - Java
This project is a simulation of a well known constraint satisfaction problem. It solves it in sudoku and n-queens games.
Sudoku Solver by constraint satisfaction problem (CSP) using heuristics - Minimum Remaining Value (MRV), Least Common Value (LCV), Maintainin Arc Consistency (MAC). Secondly, by converting to Satisfiability Problem (SAT) and using a sat solver (miniSAT).
This is the first project for Artificial Intelligence Nanodegree @udacity. Sudoku solver.
Solução do problema n-sudoku (problema de satisfação de restrições).
In this project are implemented example of local search algorithm and algorithm for constraint satisfaction problem applied to different cases
Repositorio de las prácticas de la asignatura Técnicas de los Sistemas Inteligentes, cursada en la UGR. curso 19-20
A Sudoku solver and generator, written in Racket.
A simple pure python backtracking based constraint satisfaction solver.
Implementation of CSP heuristics and backtracking algorithm for magnet puzzle in Rust.
Research AI - Lecturer: Nguyen Thanh An
Program to solve a problem of coloring each node (point) with a different color than its neighbors
CSP Solver made in Windows Forms (C# .NET Framework).
This Project shows an understanding of Propositional Logic, Conjunctive Normal Form, and The Resolution Refutation Method.
Solving a Constraint Satisfaction Problem by BT, FC, MRV, and AC3 methods
A simple django tool for generating random/customized test data for django model descriptions!
Using CSP heuristics
Udacity - Artificial Intelligence - Project 1 (Constraint Propagation - Eliminate, Only Choice, Naked Twin, Search) - SudokuSolver - All Files - - Passed Wed 25 April 2018
Utilizing FRODO multi agent framework to solve the radio frequency assignment problem by applying multiple algorithms such DPOP, MGM and others.
Implementation in Java8&Python based on pseudocode of book Artificial Intelligence: A Modern Approach.
Gaussian Elimination Solver
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