Emergence of Norms in Multi-agent Societies: Influence of Population Size and Topology

Marius Tudor Benea (1, 2) , Mihai Trascau (1)

1 AI-MAS - Laboratory of Artificial Intelligence and Multi-Agent Systems
2 SMA - Systèmes Multi-Agents

This work studies the problem of the emergence of norms in multi-agent systems. Based on a socially interactive game environment for the ”rules of the road” problem, of choosing a side of the road to drive on, a series of simulations are run in order to highlight the importance of the topology of the network underlying the multi-agent system and the influence of the population size. The simulation environment is optimized to run simulations of large multi-agent systems and the network topologies studied are: strongly regular, complete, random, random regular, small world and scale free.

Domaines: Intelligence artificielle [cs.AI]; Système multi-agents [cs.MA]

Marius Tudor Benea, Mihai Trascau. Emergence of Norms in Multi-agent Societies: Influence of Population Size and Topology. 8th International Symposium on Intelligent Distributed Computing, David Camacho, Sep 2014, Madrid, Spain. pp.395-401, ⟨10.1007/978-3-319-10422-5_41⟩. ⟨hal-01078597⟩