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...

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Bibliographic Details
Main Author: Santos, Fernando P. (author)
Other Authors: Santos, Francisco C. (author), Melo, Francisco (author), Paiva, Ana (author), Pacheco, Jorge Manuel Santos (author)
Format: conferencePaper
Language:eng
Published: 2016
Subjects:
Fairness
Groups
Learning
Multiagent systems
Ultimatum Game
Science & Technology
Online Access:http://hdl.handle.net/1822/47900
Country:Portugal
Oai:oai:repositorium.sdum.uminho.pt:1822/47900

Internet

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

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