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NEGOBOT
A conversational agent based on game
theory for the detection of paedophile
behaviour
Children have become active users of the Internet
One of the worst problems in cyber-society is
Commercial systems
analyse conversations
to automatically classify them
Our approach?
Meet:
NEGOBOT
Objective:
To detect paedophile
behaviour
As a chatter bot, negobot “knows” about:
Natural Language Processing
Information Retrieval
Automatic Learning
Game theory
Negobot’s
architecture
AI’s system knowledge
Gathering groups of
representative conversations
considered offensive.
http://www.perverted-justice.com
377 conversations
We use Lucene in order
to rank how similar are
Negobot’s conversations
with actual paedophile’s
conversations
A system to
understand the conversations
Replacing
“emoticons”
SMS-like wording
translation
Correcting
misspelled words
Question-answering
patterns
(AIML)
Random response
waiting times
Colloquial and
SMS-like language
Forced
language errors
Game theory
A structure of seven
chatterbots, with different
behaviours
Conversation level
An evaluation function
to classify, in real time, the
current conversation
Functional
flow
EXAMPLES
Passive
conversation
Aggresive
conversation
Limitations?
The key is the
language
Future?
WSD, opinion
mining, …
Improve
AIML
Collaborative
agents
Working with the Spanish’
Cyber-crime unit…
…trying to find those
monsters
References
1. Little girl: http://4.bp.blogspot.com/-qoMi9XA-
pfE/UD4Il8NOF3I/AAAAAAAADH4/Dy83sETvTgI/s0/Bank+Interview+Ti...
Negobot: A conversational agent based on game theory for the detection of paedophile behaviour - CISIS 2012
Negobot: A conversational agent based on game theory for the detection of paedophile behaviour - CISIS 2012
Negobot: A conversational agent based on game theory for the detection of paedophile behaviour - CISIS 2012
Negobot: A conversational agent based on game theory for the detection of paedophile behaviour - CISIS 2012
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Negobot: A conversational agent based on game theory for the detection of paedophile behaviour - CISIS 2012

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Presentation at CISIS 2012 International conference of the paper: Negobot: A conversational agent based on game
theory for the detection of paedophile behaviour

Published in: Technology
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Negobot: A conversational agent based on game theory for the detection of paedophile behaviour - CISIS 2012

  1. 1. NEGOBOT A conversational agent based on game theory for the detection of paedophile behaviour
  2. 2. Children have become active users of the Internet
  3. 3. One of the worst problems in cyber-society is
  4. 4. Commercial systems analyse conversations to automatically classify them
  5. 5. Our approach?
  6. 6. Meet: NEGOBOT
  7. 7. Objective: To detect paedophile behaviour
  8. 8. As a chatter bot, negobot “knows” about: Natural Language Processing Information Retrieval Automatic Learning Game theory
  9. 9. Negobot’s architecture
  10. 10. AI’s system knowledge
  11. 11. Gathering groups of representative conversations considered offensive. http://www.perverted-justice.com
  12. 12. 377 conversations
  13. 13. We use Lucene in order to rank how similar are Negobot’s conversations with actual paedophile’s conversations
  14. 14. A system to understand the conversations
  15. 15. Replacing “emoticons” SMS-like wording translation Correcting misspelled words
  16. 16. Question-answering patterns (AIML)
  17. 17. Random response waiting times Colloquial and SMS-like language Forced language errors
  18. 18. Game theory
  19. 19. A structure of seven chatterbots, with different behaviours
  20. 20. Conversation level
  21. 21. An evaluation function to classify, in real time, the current conversation
  22. 22. Functional flow
  23. 23. EXAMPLES
  24. 24. Passive conversation
  25. 25. Aggresive conversation
  26. 26. Limitations?
  27. 27. The key is the language
  28. 28. Future?
  29. 29. WSD, opinion mining, … Improve AIML Collaborative agents
  30. 30. Working with the Spanish’ Cyber-crime unit…
  31. 31. …trying to find those monsters
  32. 32. References 1. Little girl: http://4.bp.blogspot.com/-qoMi9XA- pfE/UD4Il8NOF3I/AAAAAAAADH4/Dy83sETvTgI/s0/Bank+Interview+Tips.jpg 2. Predator: http://1.bp.blogspot.com/- ZkA7FRuhLu8/TouRfRHOwmI/AAAAAAAAahc/9auIEO8M1m4/s400/pedofilia%2B9% 255B5%255D.jpg 3. Conversation icon: http://www.vendorregistry.com/images/home- slides/conversation-icon.png?sfvrsn=0 4. Lighthouse: http://lucaskrech.com/blog/wp- content/uploads/2010/04/lighthouse4tracing.jpg 5. Human brain: http://www.whyworrybook.com/wp- content/uploads/2013/01/canstockphoto1694623-2-brain-with-shooting-lines.jpg 6. Reveal-listen-understanding: http://2.bp.blogspot.com/-HXGhx9- CNts/UhWpYnBvSDI/AAAAAAAAAIE/Ic7EPi-f94A/s1600/understanding.jpg 7. Chess: http://2.bp.blogspot.com/- 5_3295FDOd4/UcQvY6s05uI/AAAAAAAAa4I/IF9Pf_Qxa2w/s1600/Chess+HD+Picture s7.jpg 8. Prison: http://www.ereverev.co.il/UploadImg/Articles/12826.jpg

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