On the Use of Symbolic Data Analysis to Model Communication Environments

摘要: Recent research on multi-party communications shows how multi-agent can take advantage of the complexity human communication process. The salient point is very nature channels which enable humans to focus their attention ambient communications, as well direct own communications. For systems, difficulty routing messages according both needs sender and (potential) recipients . This compounded by necessity taking into account context this communication. article proposes an architecture for Environment Active Support Interaction model (EASI) based a classification data supports multiparty Our proposition has been implemented functional description environment given.