As learning agents move from research labs to the real world, it is increasingly important that human users, including those without programming skills, be able to teach agents de...
Abstract. Companies in today’s automotive industry are under immense competitive pressure to reduce the length of their product development cycle from initial concept to begin of...
In this paper we present an autonomous meeting summarizer that transcribes an agile planning meeting and produces a textual summary of the discussion. We explore the issues involv...
As a computational model of natural language communication, Database Semantics1 (DBS) includes a hearer mode and a speaker mode. For the content to be mapped into language expressi...
This paper presents MADeM, a multi-modal agent decision making to provide virtual agents with socially acceptable decisions. We consider multi-modal decisions as those that are ab...
Francisco Grimaldo, Miguel Lozano, Fernando Barber