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Authors: Cláudio Alexandre and João Balsa

Affiliation: Universidade de Lisboa, Portugal

ISBN: 978-989-758-073-4

Keyword(s): Multiagent Systems, Intelligent Agents, Money Laundering.

Related Ontology Subjects/Areas/Topics: Agent Models and Architectures ; Agents ; Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Distributed and Mobile Software Systems ; Enterprise Information Systems ; Knowledge Engineering and Ontology Development ; Knowledge-Based Systems ; Multi-Agent Systems ; Software Engineering ; Symbolic Systems

Abstract: The huge amount of bank operations that occur every day makes it extremely hard for financial institutions to spot malicious money laundering related operations. Although some predefined heuristics are used they aren’t restrictive enough, still leaving to much work for human analyzers. This motivates the need for intelligent systems that can help financial institutions fight money laundering in a diversity of ways, such as: intelligent filtering of bank operations, intelligent analysis of suspicious operations, learning of new detection and analysis rules. In this paper, we present a multiagent based approach to deal with the problem of money laundering by defining a multiagent system designed to help financial institutions in this task, helping them to deal with two main problems: volume and rule improvement. We define the agent architecture, and characterize the different types of agents, considering the distinct roles they play in the process.

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Paper citation in several formats:
Alexandre, C. and Balsa, J. (2015). A Multiagent Based Approach to Money Laundering Detection and Prevention.In Proceedings of the International Conference on Agents and Artificial Intelligence - Volume 1: ICAART, ISBN 978-989-758-073-4, pages 230-235. DOI: 10.5220/0005281102300235

@conference{icaart15,
author={Cláudio Alexandre. and João Balsa.},
title={A Multiagent Based Approach to Money Laundering Detection and Prevention},
booktitle={Proceedings of the International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,},
year={2015},
pages={230-235},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005281102300235},
isbn={978-989-758-073-4},
}

TY - CONF

JO - Proceedings of the International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,
TI - A Multiagent Based Approach to Money Laundering Detection and Prevention
SN - 978-989-758-073-4
AU - Alexandre, C.
AU - Balsa, J.
PY - 2015
SP - 230
EP - 235
DO - 10.5220/0005281102300235

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