Interactive implementation of Arc Consistency Algorithm #3
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Updated
Oct 22, 2018 - Python
Interactive implementation of Arc Consistency Algorithm #3
An AI to generate crossword puzzles
Implementation of Constraint Solvers in Java
This is a practice for AI Search Algorithm. Grocery Bagging is a Constraint Satisfaction Problem (CSP). I used Backtracking search algorithm (Depth-First-Search) along with arc-consistency, Most Restrictive Value (MRV) and Least Constraining Value (LCV) heuristics for prioritizing and pruning to solve the problem as efficiently as possible.
Assignments given during the course Informed Search Methods in AI in Reykjavik University, during the Double Degree study period.
This project is an AI-based crossword puzzle generator using Python 3.12. The AI solves constraint satisfaction problems (CSP) to generate complete crossword puzzles based on a given structure and a set of words.
Python implementation of a logic puzzle solver Kakuro, Artificial Intelligence Fundamentals Exams (2017-18)
This project is a Sudoku solver and generator with a GUI built using Pygame as an application on CSP & its approaches. It provides three modes for users to interact with Sudoku puzzles: Mode 1: AI Agent solves a randomly generated Sudoku board. Mode 2: AI Agent solves a user-generated Sudoku board. Mode 3: User solves a user-generated Sudoku board.
A short implementation of the Arc Consistency 3 algorithm in a generic graph class
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