Artificial Intelligence
Graph-Based Algorithms for Boolean Function Manipulation
IEEE Transactions on Computers
Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in expert systems: theory and algorithms
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An incremental constraint solver
Communications of the ACM
Artificial Intelligence - Special issue on knowledge representation
Minimizing conflicts: a heuristic repair method for constraint satisfaction and scheduling problems
Artificial Intelligence - Special volume on constraint-based reasoning
Arc-consistency for non-binary dynamic CSPs
ECAI '92 Proceedings of the 10th European conference on Artificial intelligence
Multi-way versus one-way constraints in user interfaces: experience with the DeltaBlue algorithm
Software—Practice & Experience
Solution reuse in dynamic constraint satisfaction problems
AAAI '94 Proceedings of the twelfth national conference on Artificial intelligence (vol. 1)
AAAI'94 Proceedings of the twelfth national conference on Artificial intelligence (vol. 2)
Remote Agent: to boldly go where no AI system has gone before
Artificial Intelligence - Special issue: artificial intelligence 40 years later
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
CPlan: a constraint programming approach to planning
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Stochastic dynamic programming with factored representations
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Artificial Intelligence
Markov Decision Processes: Discrete Stochastic Dynamic Programming
Markov Decision Processes: Discrete Stochastic Dynamic Programming
Constraint Solving and Programming: What Next?
Constraints
Stochastic Boolean Satisfiability
Journal of Automated Reasoning
Local search with constraint propagation and conflict-based heuristics
Artificial Intelligence
The Distributed Constraint Satisfaction Problem: Formalization and Algorithms
IEEE Transactions on Knowledge and Data Engineering
Constraint Propagation and Value Acquisition: Why we should do it Interactively
IJCAI '99 Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence
Uncertainty in Constraint Satisfaction Problems: a Probalistic Approach
ECSQARU '93 Proceedings of the European Conference on Symbolic and Quantitative Approaches to Reasoning and Uncertainty
Hybrid Processing of Beliefs and Constraints
UAI '01 Proceedings of the 17th Conference in Uncertainty in Artificial Intelligence
Execution of Temporal Plans with Uncertainty
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
A Fixpoint Definition of Dynamic Constraint Satisfaction
CP '99 Proceedings of the 5th International Conference on Principles and Practice of Constraint Programming
Beyond NP: Arc-Consistency for Quantified Constraints
CP '02 Proceedings of the 8th International Conference on Principles and Practice of Constraint Programming
Arc-Consistency in Dynamic CSPs Is No More Prohibitive
ICTAI '96 Proceedings of the 8th International Conference on Tools with Artificial Intelligence
Artificial Intelligence - Special issue: Fuzzy set and possibility theory-based methods in artificial intelligence
Interactive constraint-aided conceptual design
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
Supporting dispatchability in schedules with consumable resources
Journal of Scheduling
Artificial Intelligence - Special issue: Distributed constraint satisfaction
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
Valued constraint satisfaction problems: hard and easy problems
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
Scenario-based stochastic constraint programming
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Maximizing flexibility: a retraction heuristic for oversubscribed scheduling problems
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Dynamic control of plans with temporal uncertainty
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 1
Mixed constraint satisfaction: a framework for decision problems under incomplete knowledge
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
IBM Journal of Research and Development - Business optimization
DynABT: Dynamic Asynchronous Backtracking for Dynamic DisCSPs
AIMSA '08 Proceedings of the 13th international conference on Artificial Intelligence: Methodology, Systems, and Applications
Certainty closure: Reliable constraint reasoning with incomplete or erroneous data
ACM Transactions on Computational Logic (TOCL)
A Markovian model for dynamic and constrained resource allocation problems
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 2
Conditional constraint satisfaction: logical foundations and complexity
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Solving dynamic constraint satisfaction problems by identifying stable features
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Alea: grid scheduling simulation environment
PPAM'07 Proceedings of the 7th international conference on Parallel processing and applied mathematics
Cost-driven interactive CSP with constraint relaxation
CP'09 Proceedings of the 15th international conference on Principles and practice of constraint programming
A constraint-based approach to scheduling an individual's activities
ACM Transactions on Intelligent Systems and Technology (TIST)
Complex university course timetabling
Journal of Scheduling
CSCLP'09 Proceedings of the 14th Annual ERCIM international conference on Constraint solving and constraint logic programming
Algorithms for stochastic CSPs
CP'06 Proceedings of the 12th international conference on Principles and Practice of Constraint Programming
SEaM: analyzing schedule executability through simulation
IEA/AIE'06 Proceedings of the 19th international conference on Advances in Applied Artificial Intelligence: industrial, Engineering and Other Applications of Applied Intelligent Systems
Minimal perturbation problem in course timetabling
PATAT'04 Proceedings of the 5th international conference on Practice and Theory of Automated Timetabling
Using distributed agents for patient scheduling
PRIMA'10 Proceedings of the 13th international conference on Principles and Practice of Multi-Agent Systems
Dynamic SAT with decision change costs: formalization and solutions
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume One
Constraint programming on infinite data streams
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume One
Where are the interesting problems?
CP'12 Proceedings of the 18th international conference on Principles and Practice of Constraint Programming
Constraint programming for path planning with uncertainty: solving the optimal search path problem
CP'12 Proceedings of the 18th international conference on Principles and Practice of Constraint Programming
Solving dynamic constraint optimization problems using ICHEA
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part III
An incremental approach to solving dynamic constraint satisfaction problems
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part III
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This article follows a tutorial, given by the authors on dynamic constraint solving at CP 2003 (Ninth International Conference on Principles and Practice of Constraint Programming) in Kinsale, Ireland (Verfaillie, G., & Jussien, N. (2003). It aims at offering an overview of the main approaches and techniques that have been proposed in the domain of constraint satisfaction to deal with uncertain and dynamic environments.