When the User Is Instrumental to Robot Goals: First Try - Agent Uses Agent

To create a robot with a mind of its own, we extended a formalized version of a model that explains affect-driven interaction with mechanisms for goaldirected behavior. We ran simulation experiments with intelligent software agents and found that agents preferred affect-driven decision options to rational decision options in situations where choices for low expected utility are irrational. This behavior counters current models in decision making, which generally have a hedonic bias and always select the option with the highest expected utility.

• Type: Conference
• Year: 2008
• Where: IAT
• Authors: Johan F. Hoorn, Matthijs Pontier, Ghazanfar F. Siddiqui
• Keywords: Decision Options, Expected Utility, IAT 2008, Intelligent Agent, Rational Decision Options