This paper presents an agent-based approach to semantic exploration and knowledge discovery in large information spaces by means of capturing, visualizing and making usable implic...
Jasminko Novak, Michael Wurst, Monika Fleischmann,...
Diagnosing multiple faults for a complex system is often very difficult. It requires not only a model which adequately represents the diagnostic aspect of a complex system, but al...
learning (EBL) component. In this paper we provide a brief review of FOIL and FOCL, then discuss how operationalizing a domain theory can adversely affect the accuracy of a learned...
Agents can benefit from contracting some of their tasks that cannot be performedby themselves or that can be performed moreefficiently by other agents. Developing an agent's ...
Abstract. One of the main questions concerning learning in a Multi-Agent System's environment is: "(How) can agents benefit from mutual interaction during the learning pr...