Social Continual Planning in Open Multiagent Systems

We describe a Multiagent Planning approach, named Social Continual Planning, that tackles open scenarios, where agents can join and leave the system dynamically. The planning task is not defined from a global point of view, setting a global objective, but we allow each agent to pursue its own subset of goals. We take a social perspective where, although each agent has its own planning task and planning algorithm, it needs to get engaged with others for accomplishing goals. Cooperation is not forced but, thanks to the abstraction of social commitment, stems from the needs of the agents.

• Type: Journal
• Year: 2015
• Where: AIIA
• Authors: Matteo Baldoni, Cristina Baroglio, Roberto Micalizio
• Keywords: AIIA 2015, Artificial Intelligence