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Lars Braubach, Jean-Pierre Brito, John Thangarajah (eds.)
Programming Multi-Agent Systems: 7th International Workshop, ProMAS 2009, Budapest, Hungary, May 2009.Revised Selected Papers , pages 219–236
Lecture Notes in Artificial Intelligence (Lecture Notes in Artificial Intelligence) 5919
Springer
2010
Artificial agents engaged in real world applications require accurate allocation strategies in order to better balance the use of their bounded resources. In particular, they should be capable to filter out all irrelevant information and just to consider what is relevant for the current task that they are trying to solve. The aim of this work is to propose a mechanism of relevance-based belief update to be implemented in a BDI cognitive agent. This in order to improve the performance of agents in information-rich environments. In the first part of the paper we present the formal and abstract model of the mechanism. In the second part we present its implementation in the Jason platform and we discuss its performance in simulation trials.
Introducing Relevance Awareness in BDI Agents (PROMAS 2009 @ AAMAS 2009, 12/05/2009) — Michele Piunti (Emiliano Lorini, Michele Piunti)
PROMAS 2009 @ AAMAS 2009
Lecture Notes in Computer Science (LNCS)
Programming Multi-Agent Systems (edited volume, 2010) — Lars Braubach, Jean-Pierre Briot, John Thangarajah