Emergence of Norms in Multi-agent Societies: An Ultimatum Game Case Study

Mihai Trascau (1) , Marius Tudor Benea (1, 2) , Teodor Andrei Tartareanu , Serban Radu (1)

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

This article studies the problem of norm emergence in the context of multi-agent systems (MAS). The agents of a certain MAS repeatedly play the Ultimatum game, by means of individual social interactions. The simulations are run and, afterwards, studied, for different learning strategies (a normative advisor model and a social model), and for different structures of the society (some of the most popular network topologies are used).

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

Mihai Trascau, Marius Tudor Benea, Teodor Andrei Tartareanu, Serban Radu. Emergence of Norms in Multi-agent Societies: An Ultimatum Game Case Study. 5th International Conference on Computational Collective Intelligence Technologies and Applications, Costin Badica and Ngoc Thanh Nguyen, Sep 2013, Craiova, Romania. pp.37-46, ⟨10.1007/978-3-319-01787-7_4⟩. ⟨hal-01078595⟩