International Joint Conference CISIS’12-ICEUTE´12-SOCO´12 Special Sessions

Volume 189 of the series Advances in Intelligent Systems and Computing pp 261-270

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

  • Carlos LaordenAffiliated withS3Lab - DeustoTech Computing, University of Deusto Email author 
  • , Patxi Galán-GarcíaAffiliated withS3Lab - DeustoTech Computing, University of Deusto
  • , Igor SantosAffiliated withS3Lab - DeustoTech Computing, University of Deusto
  • , Borja SanzAffiliated withS3Lab - DeustoTech Computing, University of Deusto
  • , Jose María Gómez HidalgoAffiliated withOptenet
  • , Pablo Garcia BringasAffiliated withS3Lab - DeustoTech Computing, University of Deusto

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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.


conversational agent game theory natural language processing