Hi all;<br><br>I&#39;m creating a census[1] with all the anti-vandalism bots in the Wikimedia projects history. I want to research the features and techniques used in all these past years. I need your help for compiling all the nicks of those bots. You can help adding info to the page, but if you don&#39;t have free time for that, write only the nickname and I will retrieve all the available info about the bot.<br>

<br>With the currently available information, I have found two main categories of anti-vandalism bots:<br>* First generation: simple scoring systems based in regular expressions and heuristics.<br>* Second generation: machine learning, neural networks and bayesian filters.<br>

<br>Have you got suggestions to this classification? What is your opinion about the past and the future of anti-vandalism bots? Can FlaggedRevs and similar approaches make these bots useless?<br><br>Thanks,<br>emijrp<br>
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[1] <a href="http://en.wikipedia.org/wiki/User:Emijrp/Anti-vandalism_bot_census#Census">http://en.wikipedia.org/wiki/User:Emijrp/Anti-vandalism_bot_census#Census</a><br>