One of the most challenging aspects of reasoning, planning, and acting in a multi-agent domain is reasoning about what the agents know about the knowledge of their fellows, and to...
Chitta Baral, Gregory Gelfond, Tran Cao Son, Enric...
We address long-term coalitions that are formed of both customer and vendor agents after evaluating their trust relationships with other agents in the system. We present a coalitio...
The present work investigates the problem of determining a learning path inside a suitable domain ontology. The proposed approach enables the user of a web learning application to ...
Roberto Pirrone, Massimo Cossentino, Giovanni Pila...
We consider recommender systems that filter information and only show the most preferred items. Good recommendations can be provided only when an accurate model of the user's...
This paper describes a spelling correction system that functions as part of an intelligent tutor that carries on a natural language dialogue with its users. The process that searc...