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Explored 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.

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Artificial Intelligence Engineer Nanodegree

Constraint Satisfaction

N-Queens problem

In this exercise I explored Constraint Satisfaction Problems by implementing the N-Queens problem using symbolic constraints in a Jupyter notebook. I solved 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

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Explored 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.

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