In this paper, we propose an agent-centric approach to resource description and selection in a multiagent information retrieval (IR). In the multiagent system, each agent learns f...
Here is discussed how to construct domain ontologies with both taxonomic and non-taxonomic conceptual relationships, exploiting a machinereadable dictionary (MRD) and domain-speci...
This paper addresses the problem of improving the representation space in a rule-based intelligent system, through exception-based learning. Such a system generally learns rules c...
Cristina Boicu, Gheorghe Tecuci, Mihai Boicu, Dori...
Modularization is almost the only feasible way of implementing large-scale applications. For user interfaces, interactions involving more than one module generate dependencies bet...
In this paper, we propose a framework for modelling agent organizations, Omni, that allows the balance of global organizational requirements with the autonomy of individual agents....