SNA-based reasoning for multiagent team composition

TL;DR

This paper explores how social network analysis can be used to model and optimize multi-agent team formation, demonstrating a prototype that improves team participation based on performance indicators.

Contribution

It introduces a novel approach integrating social network analysis into multi-agent system modeling for dynamic team formation and optimization.

Findings

Prototype demonstrates effective team formation based on social networks.

Agents adapt their social links to maximize participation.

Social network analysis enhances multi-agent system performance.

Abstract

The social network analysis (SNA), branch of complex systems can be used in the construction of multiagent systems. This paper proposes a study of how social network analysis can assist in modeling multiagent systems, while addressing similarities and differences between the two theories. We built a prototype of multi-agent systems for resolution of tasks through the formation of teams of agents that are formed on the basis of the social network established between agents. Agents make use of performance indicators to assess when should change their social network to maximize the participation in teams