AAAI Publications, The Twenty-Sixth International FLAIRS Conference

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Deciding like Humans Do
Jens Hoefinghoff, Laura Hoffmann, Nicole Kraemer, Josef Pauli

Last modified: 2013-05-19

Abstract


With the objective of building robots that accompany
humans in daily life, it might be favourable that such
robots act humanlike so that humans are able to predict
their behaviour without effort. Decision making is one
crucial aspect of daily life. As Damasio demonstrated,
human decisions are often based on emotions. Earlier
work thus developed a decision making framework for
artificial intelligent systems based on Damasio’s Somatic
Marker Hypothesis and revealed that overall, the
decisions made by an artificial agent resemble those of
human players. This paper enhances this work in so
far that a detailed evaluation of the first 30 decisions
made by the modelled agent during this gambling task
was done by human subjects. Therefore 26 human participants
were recruited who had to evaluate different
graphical outputs that visualized the course of the Iowa
Gambling Task played by either a modelled agent or
a human. The results revealed that participants tend to
categorize the course of the game as human, even if it
was from the modelled agent. Furthermore, the evaluation
of the different courses showed that participants
were not able to differentiate between modelled and human
output, but they were able to differentiate these
from random courses of the game.

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