Two mathematical models for money laundering
Abstract
This paper presents a short description and results of the articles by Araújo (2010) and Ng et al. (2010). These articles present theoretical models with different approaches; Araujo's (2010) model uses evolutionary game theory to show that anti-money laundering efficiency is based on the combination of factors such as an adequate design of anti-money laundering regulation and an endogenous decision of banks and employees to cooperate with this fight. Ng et al. (2010) examine the suitability of using decision processes to model intelligent adversarial systems in the real world. They find a model for the money laundering process, using interactive partially observed Markov decision process (I-POMDPs).
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References
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Copyright (c) 2017 Martha Soledad Hernández Mora, Hernando Bayona Rodríguez (Autor/a)
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