![]() Yu, Liuwen ![]() ![]() in Proceedings of the 55th Annual Hawaii International Conference on System Sciences (2022, January) As their name suggests, trust is of crucial importance in ‘‘trust service". Nevertheless, in many cases, these services suffer from a lack transparency, documentation, traceability, and inclusive multi ... [more ▼] As their name suggests, trust is of crucial importance in ‘‘trust service". Nevertheless, in many cases, these services suffer from a lack transparency, documentation, traceability, and inclusive multi-lateral decision-making mechanisms. To overcome these challenges, in this paper we propose an integrated framework which incorporates formal argumentation and negotiation within a blockchain environment to make the decision-making processes of fund management transparent and traceable. We introduce three possible architectures and we evaluate and compare them considering different technical, financial, and legal aspects. [less ▲] Detailed reference viewed: 253 (4 UL)![]() ; Markovich, Réka ![]() Book published by College Publications (2022) Detailed reference viewed: 58 (0 UL)![]() ; ; Markovich, Réka ![]() in IfCoLog Journal of Logics and Their Applications (2022), 9(4), 957-1018 Defeasible deontic logic uses techniques from non-monotonic logic to address various challenges in normative reasoning, such as prima facie permissions and obligations, moral dilemmas, deontic detachment ... [more ▼] Defeasible deontic logic uses techniques from non-monotonic logic to address various challenges in normative reasoning, such as prima facie permissions and obligations, moral dilemmas, deontic detachment, contrary-to-duty reasoning and legal interpretation. In this article, we use formal argumentation to design defeasible deontic logics, based on two classical deontic logics. In particular, we use the ASPIC+ structured argumentation theory to define non-monotonic variants of well-understood monotonic modal logics. We illustrate the ASPIC+-based approach and the resulting defeasible deontic logics using argumentation about strong permission. [less ▲] Detailed reference viewed: 52 (3 UL)![]() Li, Xu ![]() ![]() ![]() in 19th International Conference on Principles of Knowledge Representation and Reasoning, KR 2022 (2022) In this paper, we introduce and study a dynamic deontic logic for permitted announcements. In our logic framework, it is permitted to announce something if announcing it would not lead to forbidden ... [more ▼] In this paper, we introduce and study a dynamic deontic logic for permitted announcements. In our logic framework, it is permitted to announce something if announcing it would not lead to forbidden knowledge. It is shown that the logic is not compact, and we propose a sound and weakly complete Hilbert-style axiomatisation. We also study the computational complexity of the model checking problem and the decidability of the satisfiability problem. Finally, we introduce a neighbourhood semantics with a strongly complete axiomatisation. [less ▲] Detailed reference viewed: 21 (2 UL)![]() Leiva, Luis A. ![]() ![]() ![]() Book published by Springer (2022) Detailed reference viewed: 62 (1 UL)![]() ; ; Markovich, Réka ![]() in Proceedings of the 14th International Conference on Agents and Artificial Intelligence, ICAART 2022, Volume 1 (2022) Detailed reference viewed: 30 (1 UL)![]() ; Markovich, Réka ![]() ![]() E-print/Working paper (2021) Artificial Intelligence (AI) logic formalizes the reasoning of intelligent agents. In this paper, we discuss how an argumentation-based AI logic could be used also to formalize important aspects of social ... [more ▼] Artificial Intelligence (AI) logic formalizes the reasoning of intelligent agents. In this paper, we discuss how an argumentation-based AI logic could be used also to formalize important aspects of social reasoning. Besides reasoning about the knowledge and actions of individual agents, social AI logic can reason also about social dependencies among agents using the rights, obligations and permissions of the agents. We discuss four aspects of social AI logic. First, we discuss how rights represent relations between the obligations and permissions of intelligent agents. Second, we discuss how to argue about the right-to-know, a central issue in the recent discussion of privacy and ethics. Third, we discuss how a wide variety of conflicts among intelligent agents can be identified and (sometimes) resolved by comparing formal arguments. Importantly, to cover a wide range of arguments occurring in daily life, also fallacious arguments can be represented and reasoned about. Fourth, we discuss how to argue about the freedom to act for intelligent agents. Examples from social, legal and ethical reasoning highlight the challenges in developing social AI logic. The discussion of the four challenges leads to a research program for argumentation-based social AI logic, contributing towards the future development of AI logic. [less ▲] Detailed reference viewed: 57 (2 UL)![]() Yu, Liuwen ![]() ![]() in Leiva, Luis A.; Pruski, Cedric; Najjar, Amro (Eds.) et al Proceedings of the 33rd Benelux Conference on Artificial Intelligence and the 30th Belgian Dutch Conference on Machine Learning (BNAIC/BENELEARN 2021) (2021) Both argumentation and trust concern multi-lateral uncertainties, while argumentation owns the ability to enhance trust in many ways. In the field of trust service where the trustee administers financial ... [more ▼] Both argumentation and trust concern multi-lateral uncertainties, while argumentation owns the ability to enhance trust in many ways. In the field of trust service where the trustee administers financial assets on behalf of principals, trust is an indispensable element. Often, the trustees withhold the investment plans and of which the decision-making process from their principals such that these services lack of transparency, documentation, traceability, and inclusive decision-making mechanisms. In this paper, we integrate formal argumentation within a blockchain framework. Both argumentation and blockchain have distinctive features that complement each other. They together make the decision-making of the trustees transparent and traceable in order to gain trust and confidence in principals. We introduce three possible architectures and we evaluate and compare them considering different technical, financial, and legal aspects. Specifically, we discuss the role of argumentation in building trust between trustees and their principals. [less ▲] Detailed reference viewed: 64 (3 UL)![]() Markovich, Réka ![]() ![]() ![]() in Logics for New-Generation AI 2021 (2021) Detailed reference viewed: 64 (1 UL)![]() Markovich, Réka ![]() in Legal Knowledge and Information Systems (2021) Detailed reference viewed: 19 (1 UL)![]() Markovich, Réka ![]() in Logics for New-Generation AI 2021 (2021) Detailed reference viewed: 23 (1 UL)![]() Markovich, Réka ![]() in Deontic Logic and Normative Systems (2021) Detailed reference viewed: 32 (1 UL)![]() Leiva, Luis A. ![]() ![]() ![]() Book published by BnL (2021) Detailed reference viewed: 220 (31 UL)![]() Yu, Liuwen ![]() ![]() ![]() in Proceedings of the 33rd International Conference on Legal Knowledge and Information Systems (JURIX 2020) (2020, December) The theory of formal argumentation distinguishes and unifies various notions of attack, support and preference among arguments, and principles are used to classify the semantics of various kinds of ... [more ▼] The theory of formal argumentation distinguishes and unifies various notions of attack, support and preference among arguments, and principles are used to classify the semantics of various kinds of argumentation frameworks. In this paper, we consider the case in which we know that an argument is supporting another one, but we do not know yet which kind of support it is. Most common in the literature is to classify support as deductive, necessary, or evidentiary. Alternatively, support is characterized using principles. We discuss the interpretation of support using a legal divorce action. Technical results and proofs can be found in an accompanying technical report. [less ▲] Detailed reference viewed: 27 (0 UL)![]() Casini, Giovanni ![]() in CEUR Workshop Proceedings (2020) Detailed reference viewed: 65 (2 UL)![]() ; ; et al E-print/Working paper (2020) Detailed reference viewed: 107 (3 UL)![]() ; Markovich, Réka ![]() ![]() in Legal Knowledge and Information Systems – Frontiers in Artificial Intelligence and Application Series (2020) Detailed reference viewed: 66 (4 UL)![]() ; Markovich, Réka ![]() ![]() in Journal of Zhejiang University (2020) Detailed reference viewed: 71 (2 UL)![]() Markovich, Réka ![]() in Legal Knowledge and Information Systems 2019 (proceedings) (2019, December) Law has different methods and principles to resolve conflicts between norms, most of these come from Roman Law, they are well-known and much discussed. There is a whole branch of law, though, which is ... [more ▼] Law has different methods and principles to resolve conflicts between norms, most of these come from Roman Law, they are well-known and much discussed. There is a whole branch of law, though, which is much less discussed while having been created exactly in order to resolve special conflicts: conflict of laws. This system within Private International Law is dedicated to providing metarules in legal situations where more than one national legal systems’ rules could be applied: CoL rules indirectly settle the situation by declaring which one’s should. The formal representation of how these rules work contributes not only to the modelling of this branch of law but also provides methodologies for concerns arising from other conflicting normative systems, such as ethically sensitive situations where there are multiple stakeholders with different moral backgrounds. [less ▲] Detailed reference viewed: 137 (9 UL) |
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