Graphical Models for Game Theory
UAI '01 Proceedings of the 17th Conference in Uncertainty in Artificial Intelligence
Hedged learning: regret-minimization with learning experts
ICML '05 Proceedings of the 22nd international conference on Machine learning
If multi-agent learning is the answer, what is the question?
Artificial Intelligence
Artificial Intelligence
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The Ultimatum Game is a key exemplar that shows how human play often deviates from "rational" strategies suggested by game-theoretic analysis. One explanation is that humans cannot put aside the assumption of being in a multi-player multi-round environment that they are accustomed to in the real world. We introduce the Social Ultimatum Game (SUG), where players can choose their partner among a society of agents, and engage in repeated interactions of the Ultimatum Game. We develop mathematical models of human play that include "irrational" concepts such as fairness and adaptation to the expectations of the society. We will display a system where people can play SUG against a mixed system of other humans and autonomous agents based on our mathematical models.