How Emotions Affect Behavioral Game Theory

Behavioral game theory experiments reveal that human decisions consistently deviate from the predictions of traditional, purely rational economic models. This article explores how emotions such as anger, guilt, envy, and empathy act as powerful drivers in strategic interactions. By examining classic experiments like the Ultimatum Game and the Trust Game, we analyze how emotional responses shift outcomes away from mathematical Nash equilibria toward choices driven by fairness, reciprocity, and social norms.

While classical game theory assumes that players are self-interested “rational actors” who seek only to maximize their personal financial payoffs, behavioral experiments paint a different picture. In reality, human emotions systematically influence how games are played and decided.

Anger and the Punishment of Unfairness

In the Ultimatum Game, one player (the proposer) offers a split of a sum of money, and the second player (the responder) can accept or reject it. If rejected, both players receive nothing.

Guilt and the Preservation of Trust

The Trust Game involves a trustor who decides how much money to send to a trustee. The sent amount is multiplied by the experimenter, and the trustee then decides how much of this expanded sum to return to the trustor.

Envy and Inequality Aversion

People naturally compare their outcomes to those of others. In behavioral economics, this is modeled as “inequality aversion,” which is heavily driven by the emotion of envy.

Empathy and the Public Goods Game

In Public Goods Games, players secretly choose how many of their private tokens to put into a public pot. The resources in the pot are multiplied and split equally among all players, creating a temptation to “free-ride” on others’ contributions.

Why Emotions Matter in Game Theory

Emotions are not merely “irrational noise” in economic experiments; they serve as evolutionary commitment devices. They enforce social norms, encourage cooperative partnerships, and punish exploitation. Consequently, integrating emotional metrics into behavioral game theory allows researchers to predict real-world economic behavior with far greater accuracy than traditional models.