Constraint satisfaction problems (CSPs) provide a versatile framework for modelling complex decision-making tasks where a collection of variables must be allocated values that satisfy specific ...

This repository contains a visual implementation and analysis of a Constraint Satisfaction Problem (CSP) involving the coloring of 9 flower districts. The problem demonstrates key CSP concepts ...

Abstract: Problems known as Constraint Satisfaction issues (CSPs) are the ones on which every variable needs to be given e certain value in order to satisfy all the given constraints. In real life, ...

constraint satisfaction problems, or CSPs for short, are a flexible approach to searching that have proven useful in many AI-style problems CSPs can be used to solve problems such as graph-coloring: ...

This project uses a Constraint Satisfaction Problem (CSP) and backtracking search to solve a road trip planning problem across the contiguous United States. Each node is a U.S. state (or D.C.), ...

If you’ve ever completed a sudoku puzzle, then you’ve completed a constraint satisfaction problem (CSP). This type of problem is defined as a mathematical question where a number of constraints or ...

Abstract: Around twenty years ago, Generative Constraint Programming techniques, such as the Generative Constraint Satisfaction Problem (GCSP), were developed to deal with problems mainly based on ...