In this paper, we extend the traditional formalization of a Distributed Constraint Satisfaction Problems (DisCSP) to a Quantified DisCSP. A Quantified DisCSP includes several unive...
Distributed Constraint Optimization Problems (DCOP) have, for a long time, been considered an important research area for multi-agent systems because a vast number of realworld si...
We present resolvent-based learning as a new nogood learning method for a distributed constraint satisfaction algorithm. This method is based on a look-back technique in constrain...
The distributed constraint satisfaction problem (CSP) is a general formalisation used to represent problems in distributed multiagent systems. To deal with realistic problems, mult...
The distributed constraint satisfaction problem (CSP) is a general formalization used to represent problems in distributed multi-agent systems. To deal with realistic problems, mu...