The most intelligent robots are those that exaggerate: Examining robot exaggeration

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper presents a model of exaggeration suitable for implementation on a robot. Exaggeration is an interest form of dishonesty in that it serves as a tradeoff between the different costs associated with lying and the reward received by having one's lie accepted. Moreover, exaggeration offers the deceiver additional control in the form of much the exaggerated statement differs from the truth. We use a color guessing game to examine the different tradeoffs between these costs and rewards and their impact on exaggeration. Our results indicate some amount of exaggeration is the preferred option during most early interactions. Further, because the cost of lying increases linear with the number of lies, exaggeration decreases with additional interactions. We conclude by arguing why social robots must be capable of lying.

Original languageEnglish (US)
Title of host publicationDeceptive and Counter-Deceptive Machines - Papers from the AAAI 2015 Fall Symposium, Technical Report
PublisherAI Access Foundation
Pages51-57
Number of pages7
ISBN (Electronic)9781577357490
StatePublished - Jan 1 2015
EventAAAI 2015 Fall Symposium - Arlington, United States
Duration: Nov 12 2015Nov 14 2015

Publication series

NameAAAI Fall Symposium - Technical Report
VolumeFS-15-03

Other

OtherAAAI 2015 Fall Symposium
CountryUnited States
CityArlington
Period11/12/1511/14/15

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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