A Constraint Satisfaction Problem (CSP) consists of a set of variables, a domain of values for each variable and a set of constraints. The objective is to assign a value for each variable such that all constraints are satisfied. CSPs continue to receive increased attention because of both their high complexity and their omnipresence in academic, industrial and even real-life problems. This is why they are the subject of intense research in both artificial intelligence and operations research. This book introduces the classic CSP and details several extensions/improvements of both formalisms and techniques in order to tackle a large variety of problems. Consistency, flexible, dynamic, distributed and learning aspects are discussed and illustrated using simple examples such as the n-queen problem.
Payez facilement par carte, Klarna, Apple Pay ou Google Pay. Pas satisfait ? Vous avez toujours une garantie de remboursement de 14 jours. En savoir plus dans nos conditions. Si vous avez des questions, envoyez-nous un e-mail à hello@memmo.org.
Memmo facilite tes études, où que tu sois dans le monde. On rassemble tes manuels de cours et des outils d'étude intelligents au même endroit : résumés, quiz, podcasts et flashcards. Et il y a Ted, ton compagnon d'étude qui répond à toutes tes questions. Plus de 50 000 étudiants étudient déjà ici – conçu pour t'aider à apprendre plus vite et à moins stresser.