SNA-Based Reasoning for Multi-Agent Team Composition

  • Moraes Batista A
  • Bruno Marietto M
N/ACitations
Citations of this article
5Readers
Mendeley users who have this article in their library.

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

Cite

CITATION STYLE

APA

Moraes Batista, A. F. de, & Bruno Marietto, M. das G. (2015). SNA-Based Reasoning for Multi-Agent Team Composition. International Journal of Artificial Intelligence & Applications, 6(3), 51–60. https://doi.org/10.5121/ijaia.2015.6305

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free