Multi-robot learning faces all of the challenges of robot learning with all of the challenges of multiagent learning. There has been a great deal of recent research on multiagent ...
This paper discusses the specifics of planning in multiagent environments. It presents the formal framework MAPL (“maple”) for describing multiagent planning domains. MAPL al...
Many of standard practical techniques of solving constraint satisfaction problems use various decomposition methods to represent a problem as a combination of smaller ones. We stu...
In [Jegou, 1993], a decomposition method has been introduced for improving search efficiency in the area of Constraint Satisfaction Problems. This method is based on properties of...
The success of the Semantic Web crucially depends on the easy creation, integration and use of semantic data. For this purpose, we consider an integration scenario that defies co...