Constraint satisfaction in logic programming
Constraint satisfaction in logic programming
Partial constraint satisfaction
Artificial Intelligence - Special volume on constraint-based reasoning
Concurrent constraint programming
Concurrent constraint programming
Semiring-based constraint satisfaction and optimization
Journal of the ACM (JACM)
ACM Transactions on Computational Logic (TOCL)
Soft constraint programming to analysing security protocols
Theory and Practice of Logic Programming
A logic of soft constraints based on partially ordered preferences
Journal of Heuristics
Semiring-Based Soft Constraints
Concurrency, Graphs and Models
SCLP for Trust Propagation in Small-World Networks
Recent Advances in Constraints
Which Soft Constraints do you Prefer?
Electronic Notes in Theoretical Computer Science (ENTCS)
Unicast and multicast QoS routing with soft-constraint logic programming
ACM Transactions on Computational Logic (TOCL)
A 25-year perspective on logic programming
ATC'10 Proceedings of the 7th international conference on Autonomic and trusted computing
Computers & Mathematics with Applications
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Soft constraints are a generalization of classical constraints, where constraints and/or partial assignments are associated to preference or importance levels, and constraints are combined according to combinators which express the desired optimization criteria. Constraint Handling Rules (CHRs) constitute a high-level natural formalism to specify constraint solvers and propagation algorithms. In this paper we present a framework to design and specify soft constraint solvers by using CHRs. In this way, we extend the range of applicability of CHRs to soft constraints rather than just classical ones, and we provide a straightforward implementation for soft constraint solvers.