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Modeling the dynamics of contractual relations
Contracts usually have clauses that enable contracted parties to adjust their contractual positions in time, e.g., to relieve another party from duty or to grant new permission. This is especially important in long-running service relations, which require contracts to be adjusted to accommodate new...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10126499/ https://www.ncbi.nlm.nih.gov/pubmed/37113648 http://dx.doi.org/10.3389/frai.2023.1042319 |
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author | Griffo, Cristine Araujo, Lauro César Meira Brasil, Samuel Marques, Mamede-Lima Guizzardi, Giancarlo Almeida, João Paulo A. |
author_facet | Griffo, Cristine Araujo, Lauro César Meira Brasil, Samuel Marques, Mamede-Lima Guizzardi, Giancarlo Almeida, João Paulo A. |
author_sort | Griffo, Cristine |
collection | PubMed |
description | Contracts usually have clauses that enable contracted parties to adjust their contractual positions in time, e.g., to relieve another party from duty or to grant new permission. This is especially important in long-running service relations, which require contracts to be adjusted to accommodate new or unforeseen circumstances. Despite that, the representation of dynamic aspects of contractual relations has not been given enough attention in the literature. In this study, we address this gap by employing the notions of legal power and legal subjection. We propose an ontological analysis of unilateral contractual changes based on a well-founded legal core ontology that adopts a relational perspective for legal positions. We present a case study to show the benefits of representing different types of contractual changes and how these changes can impact contractual dynamics. The case study is based on recent changes to WhatsApp terms of service. |
format | Online Article Text |
id | pubmed-10126499 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-101264992023-04-26 Modeling the dynamics of contractual relations Griffo, Cristine Araujo, Lauro César Meira Brasil, Samuel Marques, Mamede-Lima Guizzardi, Giancarlo Almeida, João Paulo A. Front Artif Intell Artificial Intelligence Contracts usually have clauses that enable contracted parties to adjust their contractual positions in time, e.g., to relieve another party from duty or to grant new permission. This is especially important in long-running service relations, which require contracts to be adjusted to accommodate new or unforeseen circumstances. Despite that, the representation of dynamic aspects of contractual relations has not been given enough attention in the literature. In this study, we address this gap by employing the notions of legal power and legal subjection. We propose an ontological analysis of unilateral contractual changes based on a well-founded legal core ontology that adopts a relational perspective for legal positions. We present a case study to show the benefits of representing different types of contractual changes and how these changes can impact contractual dynamics. The case study is based on recent changes to WhatsApp terms of service. Frontiers Media S.A. 2023-04-11 /pmc/articles/PMC10126499/ /pubmed/37113648 http://dx.doi.org/10.3389/frai.2023.1042319 Text en Copyright © 2023 Griffo, Araujo, Meira Brasil, Marques, Guizzardi and Almeida. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Artificial Intelligence Griffo, Cristine Araujo, Lauro César Meira Brasil, Samuel Marques, Mamede-Lima Guizzardi, Giancarlo Almeida, João Paulo A. Modeling the dynamics of contractual relations |
title | Modeling the dynamics of contractual relations |
title_full | Modeling the dynamics of contractual relations |
title_fullStr | Modeling the dynamics of contractual relations |
title_full_unstemmed | Modeling the dynamics of contractual relations |
title_short | Modeling the dynamics of contractual relations |
title_sort | modeling the dynamics of contractual relations |
topic | Artificial Intelligence |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10126499/ https://www.ncbi.nlm.nih.gov/pubmed/37113648 http://dx.doi.org/10.3389/frai.2023.1042319 |
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