Detecting Deception in Non-Cooperative Dialogue: A Smarter Adversary Cannot be Fooled That Easily

Aimilios Vourliotakis, Ioannis Efstathiou, Verena Rieser

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


Recent work has learned non-cooperative dialogue behaviour within a stochastic trading game, including dialogue moves such as bluffing and lying. Here, we introduce an adversary which can detect deception based on logical contradictions between dialogue moves. Being caught in deception, the adversary will penalise this behaviour by either refusing to trade or declaring victory. We compare our results to a learning agent trained with a gullible adversary and show that a more realistic adversary decreases the chances of winning by over 20%, if the penalty for cheating is to lose the game. In future work we will re-train the learning agent within this more challenging environment.
Original languageEnglish
Title of host publicationSemDial 2014 Proceedings
EditorsVerena Rieser, Philippe Muller
Number of pages3
Publication statusPublished - 1 Sep 2014
Event18th Workshop on the Semantics and Pragmatics of Dialogue - Heriot Watt University, Edinburgh, United Kingdom
Duration: 1 Sep 20143 Sep 2014

Publication series

NameProceedings (SemDial)
ISSN (Print)2308-2275


Workshop18th Workshop on the Semantics and Pragmatics of Dialogue
Abbreviated titleSemDial 2014
CountryUnited Kingdom

Cite this