STEALTH: Modeling Coevolutionary Dynamics of Tax Evasion and Auditing

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@InProceedings{DBLP:conf/ic3k/OReilly16,

• author = "Una-May O'Reilly",
• title = "STEALTH: Modeling Coevolutionary Dynamics of Tax Evasion and Auditing",
• booktitle = "Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K 2016",
• year = "2016",
• editor = "Ana L. N. Fred and Jan L. G. Dietz and David Aveiro and Kecheng Liu and Jorge Bernardino and Joaquim Filipe",
• volume = "1",
• pages = "9",
• address = "Porto, Portugal",
• month = nov # " 9-11",
• publisher = "SciTePress",
• note = "KDIR Keynote Lecture",
• keywords = "genetic algorithms, genetic programming",
• isbn13 = "978-989-758-203-5",
• biburl = "https://dblp.org/rec/bib/conf/ic3k/OReilly16",
• bibsource = "dblp computer science bibliography, https://dblp.org",
• URL = "http://www.ic3k.org/Documents/Previous_Invited_Speakers/2016/IC3K2016_O%27Reilly.pdf",
• URL = "http://player.vimeo.com/video/199015535?title=0&portrait=0",
• abstract = "STEALTH is an AI system that detects tax law non-compliance by modelling the co-evolution of tax evasion schemes and their discovery through abstracted audits. Tax evasion accounts for billions of lost income each year. When the government pursues a tax evasion scheme and changes the tax law or audit procedures, the tax evasion schemes evolve and change into an undetectable form. The arms race between tax evasion schemes with tax authority actions presents a significant challenge to guide and plan enforcement efforts.",
• notes = "http://www.ic3k.org/KeynoteSpeakers.aspx?y=2016 http://groups.csail.mit.edu/EVO-DesignOpt/STEALTH/",

}

Genetic Programming entries for Una-May O'Reilly

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