Multi-label learning deals with ambiguous examples each may belong to several concept classes simultaneously. In this learning framework, the inherent ambiguity of each example is...
Abstract. This paper deals with the issue of learning in multi-agent systems (MAS). Particularly, we are interested in BDI (Belief, Desire, Intention) agents. Despite the relevance...
Work on the production of texts in English describing instances of a particular event type from multiple news sources will be described. A system has been developed which extracts...
James R. Cowie, Yevgeny Ludovik, Hugo Molina-Salga...
This paper presents the dynamics of multiple learning agents from an evolutionary game theoretic perspective. We provide replicator dynamics models for cooperative coevolutionary ...
—When the Internet was conceived, its fundamental operation was envisioned to be point-to-point communication allowing anybody to talk directly to anybody. With its increasing su...