https://github.com/lucko515/n-queens-ai
Solve N-Queens problem using constraint satisfaction. This is one of the projects in Artificial Intelligence Nanodegree @Udacity
https://github.com/lucko515/n-queens-ai
aind artificial-intelligence constraint-satisfaction-problem n-queens
Last synced: 3 months ago
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Solve N-Queens problem using constraint satisfaction. This is one of the projects in Artificial Intelligence Nanodegree @Udacity
- Host: GitHub
- URL: https://github.com/lucko515/n-queens-ai
- Owner: lucko515
- License: other
- Created: 2017-07-24T12:19:09.000Z (almost 8 years ago)
- Default Branch: master
- Last Pushed: 2017-07-24T12:20:38.000Z (almost 8 years ago)
- Last Synced: 2025-02-01T17:23:54.929Z (5 months ago)
- Topics: aind, artificial-intelligence, constraint-satisfaction-problem, n-queens
- Language: Jupyter Notebook
- Size: 250 KB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
In this exercise you will explore Constraint Satisfaction Problems by implementing the N-Queens problem using symbolic constraints in a Jupyter notebook, and solving it using the Backtracking Search algorithm from AIMA.
To launch the notebook, run the following command from a terminal with anaconda3 installed and on the application path:
jupyter notebook AIND-Constraint_Satisfaction.ipynb