Constraint Satisfaction Problems

Constraint Satisfaction Problems (CSPs) are mathematical problems defined as a set of objects whose state must satisfy several constraints and restrictions. The main characteristics of CSPs include variables that can take on values from a specific domain, constraints that restrict the values the variables can simultaneously take, and a solution that satisfies all constraints. CSPs are commonly used in various fields such as artificial intelligence, operations research, and computer science for tasks like scheduling, resource allocation, and puzzle solving. They can be solved using various techniques, including backtracking, constraint propagation, and local search methods.