Although normative systems, or social laws, have proved to be a highly influential approach to coordination in multi-agent systems, the issue of compliance to such normative syste...
This paper addresses the problem of multiagent task allocation in extreme teams. An extreme team is composed by a large number of agents with overlapping functionality operating i...
The paper presents peer-to-peer multi-agent framework for community clustering based on contact propagation in the global network of contacts with individual ontology-based descrip...
In this work we present the basic concepts for a dynamic plug-in-based software architecture using concepts from the Petri net-based MAS framework Mulan. By transferring the conce...
Lawrence Cabac, Michael Duvigneau, Daniel Moldt, H...
Abstract. Betty’s Brain is a teachable agent system in the domain of river ecosystems that combines learning by teaching and self-regulation strategies to promote deep learning a...