Constraint Satisfaction is a problem-solving approach used in fields like computer science and artificial intelligence. It involves finding a solution that meets a set of specific conditions or constraints. For example, in a Sudoku puzzle, the goal is to fill a grid with numbers while ensuring that each row, column, and region contains unique digits. In a broader context, Constraint Satisfaction Problems (CSPs) can involve variables, domains, and constraints. Each variable must be assigned a value from its domain, and the solution must satisfy all constraints. Applications of CSPs include scheduling, resource allocation, and graph coloring.