Agent-based collaboration systems: A case study
Elena Nardini, Andrea Omicini · Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna) · 2008
Existing distance learning systems provide collaboration tools (like forum, chat, wiki, etc.) presenting some limits that reduce the effectiveness of such tools from the standpoint of collaborative learning. Accordingly, a conceptual framework is needed that bridges the gap between the interaction forms characterising collaborative learning and existing learning collaboration tools. In this context, Multi-Agent System (MAS) seems to be a suitable paradigm to engineer such systems as it promotes effective collaboration. This paper shows how the Agents and Artefacts (A&A) meta-model for MAS could be exploited to build a conceptual framework for collaborative learning systems. Keywords: collaborative learning, computer-supported collaborative learning, Multi-Agent System, Agent and Artefact meta-model.