Negobot: A Conversational Agent Based on Game Theory for the Detection of Paedophile Behaviour

  • Carlos Laorden
  • Patxi Galán-García
  • Igor Santos
  • Borja Sanz
  • Jose María Gómez Hidalgo
  • Pablo Garcia Bringas
Conference paper

DOI: 10.1007/978-3-642-33018-6_27

Volume 189 of the book series Advances in Intelligent Systems and Computing (AISC)
Cite this paper as:
Laorden C., Galán-García P., Santos I., Sanz B., Hidalgo J.M.G., Bringas P.G. (2013) Negobot: A Conversational Agent Based on Game Theory for the Detection of Paedophile Behaviour. In: Herrero Á. et al. (eds) International Joint Conference CISIS’12-ICEUTE´12-SOCO´12 Special Sessions. Advances in Intelligent Systems and Computing, vol 189. Springer, Berlin, Heidelberg

Abstract

Children have been increasingly becoming active users of the Internet and, although any segment of the population is susceptible to falling victim to the existing risks, they in particular are one of the most vulnerable. Thus, some of the major scourges of this cyber-society are paedophile behaviours on the Internet, child pornography or sexual exploitation of children. In light of this background, Negobot is a conversational agent posing as a child, in chats, social networks and other channels suffering from paedophile behaviour. As a conversational agent, Negobot, has a strong technical base of Natural Language Processing and information retrieval, as well as Artificial Intelligence and Machine Learning. However, the most innovative proposal of Negobot is to consider the conversation itself as a game, applying game theory. In this context, Negobot proposes, first, a competitive game in which the system identifies the best strategies for achieving its goal, to obtain information that leads us to infer if the subject involved in a conversation with the agent has paedophile tendencies, while our actions do not bring the alleged offender to leave the conversation due to a suspicious behaviour of the agent.

Keywords

conversational agent game theory natural language processing 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Carlos Laorden
    • 1
  • Patxi Galán-García
    • 1
  • Igor Santos
    • 1
  • Borja Sanz
    • 1
  • Jose María Gómez Hidalgo
    • 2
  • Pablo Garcia Bringas
    • 1
  1. 1.S3Lab - DeustoTech ComputingUniversity of DeustoBilbaoSpain
  2. 2.OptenetMadridSpain