Modeling Human Decision Making with an Abstract Dynamic Argumentation Framework

Human-beings everyday decisions are often based on arguments and counter-arguments, and Argumentation has shown –within the research field of Artificial Intelligence– to be an appropriate way to advocate for a choice, given its explanatory power. For human beings it worth having a decision making approach in which one can better understand the underpinnings of the evaluation. In this work we show the adequacy of an abstract dynamic argumentation framework to model the Dictator Game by emulating the answers contained in a survey we conducted. The Dictator Game is a well-known problem belonging to the field of experimental economic studies related to human decision making.