In many multiclass learning scenarios, the number of classes is relatively large (thousands,...), or the space and time efficiency of the learning system can be crucial. We invest...
Coordination within decentralized agent groups frequently requires reaching global consensus, but typical hierarchical approaches to reaching such decisions can be complex, slow, ...
We introduce the novel problem of inter-robot transfer learning for perceptual classification of objects, where multiple heterogeneous robots communicate and transfer learned obje...
In order to create adaptive Agent Systems with abilities matching those of their biological counterparts, a natural approach is to incorporate classical conditioning mechanisms int...
Tibor Bosse, Catholijn M. Jonker, Sander A. Los, L...
Existing efforts on ontology mapping, alignment and merging vary from methodological and theoretical frameworks, to methods and tools that support the semi-automatic coordination o...
Konstantinos Kotis, George A. Vouros, Kostas Sterg...