Distributed Argumentation Technology: Advancing Risk Analysis and Regulatory Compliance of Distributed Ledger Technology (DLT) for Transaction and Management of Securities
Computer science; Artificial intelligence; Knowledge representation and reasoning; AI and law; Distributed system
Résumé :
[en] Distributed argumentation technology is a computational approach incorporating argumentation reasoning mechanisms within multi-agent systems. For the formal foundations of distributed argumentation technology, in this thesis, we conduct a principle-based analysis of structured argumentation as well as abstract multi-agent and abstract bipolar argumentation. The results of the principle-based approach of these theories provide an overview and guideline for further applications of the theories. Moreover, in this thesis we explore distributed argumentation technology using distributed ledgers. We envision an Intelligent Human-input-based Blockchain Oracle (IHiBO), an artificial intelligence tool for storing argumentation reasoning. We propose a decentralized and secure architecture for conducting decision-making, addressing key concerns of trust, transparency, and immutability. We model fund management with agent argumentation in IHiBO and analyze its compliance with European fund management legal frameworks. We illustrate how bipolar argumentation balances pros and cons in legal reasoning in a legal divorce case, and how the strength of arguments in natural language can be represented in structured arguments. Finally, we discuss how distributed argumentation technology can be used to advance risk management, regulatory compliance of distributed ledgers for financial securities, and dialogue techniques.
Disciplines :
Sciences informatiques
Auteur, co-auteur :
YU, Liuwen ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > PI VDT
Langue du document :
Anglais
Titre :
Distributed Argumentation Technology: Advancing Risk Analysis and Regulatory Compliance of Distributed Ledger Technology (DLT) for Transaction and Management of Securities
Date de soutenance :
26 octobre 2023
Institution :
Unilu - University of Luxembourg [Science Technology and Medicine], Belval, Luxembourg
Intitulé du diplôme :
Docteur en Informatique (DIP_DOC_0006_B)
Promoteur :
VAN DER TORRE, Leon ; University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS)
PALMIRANI, Monica; UNIBO - Università di Bologna [IT]
DURANTE, Massimo; UNITO - University of Turin [IT]
Président du jury :
VERHEIJ, Bart; RUG - University of Groningen [NL]
Membre du jury :
STRASSER, Christian; Ruhr University Bochum
GIACOMIN, Massimiliano; University of Brescia
Focus Area :
Computational Sciences
Intitulé du projet de recherche :
Law, Science and Technology Joint Doctorate
Organisme subsidiant :
European Union’s Horizon 2020 research and innovation program under the Marie Skłodowska-Curie ITN EJD grant agreement