STEALTH: Modeling Coevolutionary Dynamics of Tax Evasion and Auditing

Created by W.Langdon from gp-bibliography.bib Revision:1.4549

  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 =       "",
  bibsource =    "dblp computer science bibliography,",
  URL =          "",
  URL =          "",
  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
  notes =        "

Genetic Programming entries for Una-May O'Reilly