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Authors: Paulo Henrique Alves 1 ; Fernando Correia 1 ; Isabella Frajhof 2 ; Clarisse Sieckenius de Souza 1 and Helio Lopes 1

Affiliations: 1 Department of Informatics, Pontifical Catholic University of Rio de Janeiro - PUC-Rio, Rio de Janeiro, Brazil ; 2 Law Department, Pontifical Catholic University of Rio de Janeiro - PUC-Rio, Rio de Janeiro, Brazil

Keyword(s): Normative Agents, Multiagent Systems, Data Regulation, Open Banking.

Abstract: Data protection regulation is crucial to establishing the appropriate conduct in sharing and maintaining personal data. It aims to protect the Data Subjects’ data, and to define Data Controllers’ and Processors’ obligations. However, modeling systems to represent and comply with those regulations can be challenging. In this sense, Multiagent System (MAS) presents an opportunity to overcome this challenge. MAS is an artificial intelligence approach that enables the simulation of independent software agents considering environmental variables. Thus, combining data regulation directives and Normative MAS (NMAS) can allow the development of systems among distinct data regulation jurisdictions properly. This work proposes the DR-NMAS (Data Regulation by NMAS) employing Adaptative Normative Agent - Modeling Language (ANA-ML) and a Normative Agent Java Simulation (JSAN) extension to address data regulation concerns in an NMAS. As a result, we present a use case scenario in the Open Banking domain to employ the proposed extensions. Finally, this work concludes that NMAS can represent data regulation modeling and its application. (More)

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Paper citation in several formats:
Henrique Alves, P.; Correia, F.; Frajhof, I.; Sieckenius de Souza, C. and Lopes, H. (2023). A Normative Multiagent Approach to Represent Data Regulation Concerns. In Proceedings of the 15th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART; ISBN 978-989-758-623-1; ISSN 2184-433X, SciTePress, pages 330-337. DOI: 10.5220/0011750900003393

@conference{icaart23,
author={Paulo {Henrique Alves}. and Fernando Correia. and Isabella Frajhof. and Clarisse {Sieckenius de Souza}. and Helio Lopes.},
title={A Normative Multiagent Approach to Represent Data Regulation Concerns},
booktitle={Proceedings of the 15th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART},
year={2023},
pages={330-337},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011750900003393},
isbn={978-989-758-623-1},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the 15th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART
TI - A Normative Multiagent Approach to Represent Data Regulation Concerns
SN - 978-989-758-623-1
IS - 2184-433X
AU - Henrique Alves, P.
AU - Correia, F.
AU - Frajhof, I.
AU - Sieckenius de Souza, C.
AU - Lopes, H.
PY - 2023
SP - 330
EP - 337
DO - 10.5220/0011750900003393
PB - SciTePress

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