Constraint Processing

Constraint satisfaction serves as a powerful tool that narrows down possibilities by identifying what is impossible, enabling a clear declarative approach to problem-solving. Over the past thirty years, the field has evolved through contributions from various disciplines, including artificial intelligence and operations research. Today, it is applied to model cognitive tasks in areas such as vision, language comprehension, scheduling, and reasoning, showcasing its versatility and relevance across multiple domains.