Learning to be fair in multiplayer Ultimatum Games

We study a multiplayer extension of the well-known Ultimatum Game (UG) through the lens of a reinforcement learning algorithm. Multiplayer Ultimatum Game (MUG) allows us to study fair behaviors beyond the traditional pairwise interaction models. Here, a proposal is made to a quorum of Responders, an...

ver descrição completa

Detalhes bibliográficos
Autor principal: Santos, Fernando P. (author)
Outros Autores: Santos, Francisco C. (author), Melo, Francisco (author), Paiva, Ana (author), Pacheco, Jorge Manuel Santos (author)
Formato: conferencePaper
Idioma:eng
Publicado em: 2016
Assuntos:
Fairness
Groups
Learning
Multiagent systems
Ultimatum Game
Science & Technology
Texto completo:http://hdl.handle.net/1822/47900
País:Portugal
Oai:oai:repositorium.sdum.uminho.pt:1822/47900

Texto Completo

http://hdl.handle.net/1822/47900

Registros relacionados