Title:
Robot Deception: Recognizing when a Robot Should Deceive
Robot Deception: Recognizing when a Robot Should Deceive
Author(s)
Wagner, Alan R.
Arkin, Ronald C.
Arkin, Ronald C.
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Abstract
This article explores the possibility of developing
robot control software capable of discerning when and if a
robot should deceive. Exploration of this problem is critical for
developing robots with deception capabilities and may lend
valuable insight into the phenomena of deception itself. In this
paper we explore deception from an interdependence/game
theoretic perspective. Further, we develop and experimentally
investigate an algorithm capable of indicating whether or not a
particular social situation warrants deception on the part of the
robot. Our qualitative and quantitative results provide evidence
that, indeed, our algorithm recognizes situations which justify
deception and that a robot capable of discerning these situations
is better suited to act than one that does not.
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Date Issued
2009
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Text
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Paper