article · 2014

Autonomous Agent for Deception Detection

Amos Azaria, Ariella Richardson, Sarit Kraus

Cited by 0Abstract and details only

Abstract

Autonomous agents can be of assistance in detecting and reducing deception in computerized forums and chat-rooms. Although some deception detection methods exist they heavily rely on audio and visual information. Our focus is on text-based environments where there is no data of this type to use. We have developed DIG, an innovative machine learning-based autonomous agent, which joins a group of players as a regular member and assists them in catching a deceiver. We introduce “the pirate game” as a platform for deploying this agent. Our experimental study shows that although humans display difficulty detecting deception, DIG is not only capable of finding a deceptive player, but it also helps increase the entire group’s success.

Cite this paper

APA 7

Azaria, A., Richardson, A., & Kraus, S. (2014). Autonomous Agent for Deception Detection.

MLA 9

Azaria, Amos, et al. “Autonomous Agent for Deception Detection.” 2014.

Chicago

Azaria, Amos, Ariella Richardson, and Sarit Kraus. 2014. “Autonomous Agent for Deception Detection.”

Harvard

Azaria, A., Richardson, A. and Kraus, S. (2014) ‘Autonomous Agent for Deception Detection’.

BibTeX

@article{azaria2014autonomous,
  title = {{Autonomous Agent for Deception Detection}},
  author = {Azaria, Amos and Richardson, Ariella and Kraus, Sarit},
  year = {2014}
}

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