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

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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.
Johan F. Hoorn, Matthijs Pontier, Ghazanfar F. Sid
Added 29 May 2010
Updated 29 May 2010
Type Conference
Year 2008
Where IAT
Authors Johan F. Hoorn, Matthijs Pontier, Ghazanfar F. Siddiqui
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