Forming Multi-agents Collaborative Communities in Overlapping Communities

In current approaches, agents are organized into disjoint communities and social reasoning is used to capture their capabilities when selecting a qualified set of collaborators. These approaches are not useful when agents are in multiple, overlapping communities, and using shared resources to complete shared goals including individual goals and common goals, and need to share the overall cost and benefits. In this work, we define an overlapping community system model formed by relying on resources to reduces communication costs. Agents use social reasoning to enhance their understanding of other agents' goals and their dependencies. Transfer resource requirements to other communities to balance the level of individual and shared goals. This method aims at improving the extent to which agents' goals are met while improving the achievement of the shared goals. The proposed model is evaluated in an open multi-agent system with 100 agents operating and sharing multiple constrained resources.