Soft constraints extend classical constraints to deal with non-functional requirements, overconstrained problems and preferences. Bistarelli, Montanari and Rossi have developed a ...
Martin Wirsing, Grit Denker, Carolyn L. Talcott, A...
This paper considers a method that combines ideas from Bayesian learning, Bayesian network inference, and classical hypothesis testing to produce a more reliable and robust test o...
In this paper, we propose a novel approach to solving the distributed constraint optimisation problem (DCOP) that guarantees completeness, while having linear communication comple...
Cooperative distributed problem solving (CDPS) loosely-coupledagentscan be effectively modeledas a distributed constraint satisfaction problem(DCSP) whereeach agent has multiple l...
The paper considers a stylized model of a dynamic assortment optimization problem, where given a limited capacity constraint, we must decide the assortment of products to offer to...
Paat Rusmevichientong, Zuo-Jun Max Shen, David B. ...