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Floris Bex [22]Floris J. Bex [4]
  1. Justification, stability and relevance in incomplete argumentation frameworks.Daphne Odekerken, AnneMarie Borg & Floris Bex - forthcoming - Argument and Computation:1-58.
    We explore the computational complexity of justification, stability and relevance in incomplete argumentation frameworks (IAFs). IAFs are abstract argumentation frameworks that encode qualitative uncertainty by distinguishing between certain and uncertain arguments and attacks. These IAFs can be completed by deciding for each uncertain argument or attack whether it is present or absent. Such a completion is an abstract argumentation framework, for which it can be decided which arguments are acceptable under a given semantics. The justification status of an argument in (...)
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  2.  79
    A hybrid formal theory of arguments, stories and criminal evidence.Floris J. Bex, Peter J. van Koppen, Henry Prakken & Bart Verheij - 2010 - Artificial Intelligence and Law 18 (2):123-152.
    This paper presents a theory of reasoning with evidence in order to determine the facts in a criminal case. The focus is on the process of proof, in which the facts of the case are determined, rather than on related legal issues, such as the admissibility of evidence. In the literature, two approaches to reasoning with evidence can be distinguished, one argument-based and one story-based. In an argument-based approach to reasoning with evidence, the reasons for and against the occurrence of (...)
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  3.  36
    Thirty years of Artificial Intelligence and Law: the second decade.Giovanni Sartor, Michał Araszkiewicz, Katie Atkinson, Floris Bex, Tom van Engers, Enrico Francesconi, Henry Prakken, Giovanni Sileno, Frank Schilder, Adam Wyner & Trevor Bench-Capon - 2022 - Artificial Intelligence and Law 30 (4):521-557.
    The first issue of Artificial Intelligence and Law journal was published in 1992. This paper provides commentaries on nine significant papers drawn from the Journal’s second decade. Four of the papers relate to reasoning with legal cases, introducing contextual considerations, predicting outcomes on the basis of natural language descriptions of the cases, comparing different ways of representing cases, and formalising precedential reasoning. One introduces a method of analysing arguments that was to become very widely used in AI and Law, namely (...)
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  4.  80
    In memoriam Douglas N. Walton: the influence of Doug Walton on AI and law.Katie Atkinson, Trevor Bench-Capon, Floris Bex, Thomas F. Gordon, Henry Prakken, Giovanni Sartor & Bart Verheij - 2020 - Artificial Intelligence and Law 28 (3):281-326.
    Doug Walton, who died in January 2020, was a prolific author whose work in informal logic and argumentation had a profound influence on Artificial Intelligence, including Artificial Intelligence and Law. He was also very interested in interdisciplinary work, and a frequent and generous collaborator. In this paper seven leading researchers in AI and Law, all past programme chairs of the International Conference on AI and Law who have worked with him, describe his influence on their work.
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  5.  19
    Combining explanation and argumentation in dialogue.Floris Bex & Douglas Walton - 2016 - Argument and Computation 7 (1):55-68.
  6.  21
    The Hybrid Theory of Stories and Arguments Applied to the Simonshaven Case.Floris J. Bex - 2020 - Topics in Cognitive Science 12 (4):1152-1174.
    Bex analyzes the case with an informal version of his hybrid theory, which combines scenario construction and argumentation. Arguments based on evidence can be used to reason about alternative scenarios. Bex claims that his hybrid theory provides the best of both worlds by combining cognitively feasible story‐based reasoning with more detailed rational argumentation. However, like the argument‐based approach, the hybrid theory does not provide a systematic account of uncertainty.
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  7.  15
    Arguing with Stories.Trevor Bench-Capon & Floris Bex - 2017 - In Paula Olmos (ed.), Narration as Argument. Cham, Switzerland: Springer Verlag.
    Stories can be powerful argumentative vehicles, and they are often used to present arguments from analogy, most notably as parables, fables or allegories where the story invites the hearer to infer an important claim of the argument. Case Based Reasoning in Law has many similar features: the current case is compared to previously decided cases, and in case the similarity between the previous and current cases is deemed sufficient, a similar conclusion can be drawn for the current case. In this (...)
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  8.  38
    Editors' Review and Introduction: Models of Rational Proof in Criminal Law.Henry Prakken, Floris Bex & Anne Ruth Mackor - 2020 - Topics in Cognitive Science 12 (4):1053-1067.
    Decisions concerning proof of facts in criminal law must be rational because of what is at stake, but the decision‐making process must also be cognitively feasible because of cognitive limitations, and it must obey the relevant legal–procedural constraints. In this topic three approaches to rational reasoning about evidence in criminal law are compared in light of these demands: arguments, probabilities, and scenarios. This is done in six case studies in which different authors analyze a manslaughter case from different theoretical perspectives, (...)
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  9.  82
    Legal stories and the process of proof.Floris Bex & Bart Verheij - 2013 - Artificial Intelligence and Law 21 (3):253-278.
    In this paper, we continue our research on a hybrid narrative-argumentative approach to evidential reasoning in the law by showing the interaction between factual reasoning (providing a proof for ‘what happened’ in a case) and legal reasoning (making a decision based on the proof). First we extend the hybrid theory by making the connection with reasoning towards legal consequences. We then emphasise the role of legal stories (as opposed to the factual stories of the hybrid theory). Legal stories provide a (...)
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  10.  62
    Introduction to the special issue on Artificial Intelligence for Justice.Floris Bex, Henry Prakken, Tom van Engers & Bart Verheij - 2017 - Artificial Intelligence and Law 25 (1):1-3.
  11. (1 other version)Schemes of Inference, Conflict, and Preference in a Computational Model of Argument.Floris Bex & Chris Reed - 2011 - Studies in Logic, Grammar and Rhetoric 23 (36).
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  12. Analyzing stories using schemes.Floris Bex - 2008 - In Hendrik Kaptein (ed.), Legal Evidence and Proof: Statistics, Stories, Logic. Ashgate.
     
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  13. Accepting the truth of a story about the facts of a criminal case.Bart Verheij & Floris Bex - 2008 - In Hendrik Kaptein (ed.), Legal Evidence and Proof: Statistics, Stories, Logic. Ashgate.
     
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  14.  16
    AI, Law and beyond. A transdisciplinary ecosystem for the future of AI & Law.Floris J. Bex - forthcoming - Artificial Intelligence and Law:1-18.
    We live in exciting times for AI and Law: technical developments are moving at a breakneck pace, and at the same time, the call for more robust AI governance and regulation grows stronger. How should we as an AI & Law community navigate these dramatic developments and claims? In this Presidential Address, I present my ideas for a way forward: researching, developing and evaluating real AI systems for the legal field with researchers from AI, Law and beyond. I will demonstrate (...)
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  15. (1 other version)Towards a formal account of reasoning about evidence: Argumentation schemes and generalisations. [REVIEW]Floris Bex, Henry Prakken, Chris Reed & Douglas Walton - 2003 - Artificial Intelligence and Law 11 (2-3):125-165.
    This paper studies the modelling of legal reasoning about evidence within general theories of defeasible reasoning and argumentation. In particular, Wigmore's method for charting evidence and its use by modern legal evidence scholars is studied in order to give a formal underpinning in terms of logics for defeasible argumentation. Two notions turn out to be crucial, viz. argumentation schemes and empirical generalisations.
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  16.  77
    Correction: thirty years of Artificial Intelligence and Law: the second decade.Giovanni Sartor, Michał Araszkiewicz, Katie Atkinson, Floris Bex, Tom van Engers, Enrico Francesconi, Henry Prakken, Giovanni Sileno, Frank Schilder, Adam Wyner & Trevor Bench-Capon - 2022 - Artificial Intelligence and Law 30 (4):559-559.
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  17. Argumentation and evidence.Floris Bex - 2021 - In Christian Dahlman, Alex Stein & Giovanni Tuzet (eds.), Philosophical Foundations of Evidence Law. New York, NY: Oxford University Press.
     
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  18.  59
    Towards a multi-agent system for regulated information exchange in crime investigations.Pieter Dijkstra, Floris Bex, Henry Prakken & Kees Vey Mestdagdeh - 2005 - Artificial Intelligence and Law 13 (1):133-151.
    This paper outlines a multi-agent architecture for regulated information exchange of crime investigation data between police forces. Interactions between police officers about information exchange are analysed as negotiation dialogues with embedded persuasion dialogues. An architecture is then proposed consisting of two agents, a requesting agent and a responding agent, and a communication language and protocol with which these agents can interact to promote optimal information exchange while respecting the law. Finally, dialogue policies are defined for the individual agents, specifying their (...)
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  19.  41
    Towards a multi-agent system for regulated information exchange in crime investigations.Pieter Dijkstra, Floris Bex, Henry Prakken & Kees de Vey Mestdagh - 2005 - Artificial Intelligence and Law 13 (1):133-151.
    This paper outlines a multi-agent architecture for regulated information exchange of crime investigation data between police forces. Interactions between police officers about information exchange are analysed as negotiation dialogues with embedded persuasion dialogues. An architecture is then proposed consisting of two agents, a requesting agent and a responding agent, and a communication language and protocol with which these agents can interact to promote optimal information exchange while respecting the law. Finally, dialogue policies are defined for the individual agents, specifying their (...)
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  20.  11
    Special issue: Computational models of natural argument.Floriana Grasso, Floris Bex & Nancy Green - 2016 - Argument and Computation 7 (1):3-4.
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  21.  14
    RationalGRL: A framework for argumentation and goal modeling.Marc van Zee, Floris Bex & Sepideh Ghanavati - forthcoming - Argument and Computation:1-55.
    Goal-oriented requirements modeling approaches aim to capture the intentions of the stakeholders involved in the development of an information system as goals and tasks. The process of constructing such goal models usually involves discussions between a requirements engineer and a group of stakeholders. Not all the arguments in such discussions can be captured as goals or tasks: e.g., the discussion whether to accept or reject a certain goal and the rationale for acceptance or rejection cannot be captured in goal models. (...)
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  22.  22
    Deductive and abductive argumentation based on information graphs.Remi Wieten, Floris Bex, Henry Prakken & Silja Renooij - 2022 - Argument and Computation 13 (1):49-91.
    In this paper, we propose an argumentation formalism that allows for both deductive and abductive argumentation, where ‘deduction’ is used as an umbrella term for both defeasible and strict ‘forward’ inference. Our formalism is based on an extended version of our previously proposed information graph formalism, which provides a precise account of the interplay between deductive and abductive inference and causal and evidential information. In the current version, we consider additional types of information such as abstractions which allow domain experts (...)
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  23. A history of AI and Law in 50 papers: 25 years of the international conference on AI and Law. [REVIEW]Trevor Bench-Capon, Michał Araszkiewicz, Kevin Ashley, Katie Atkinson, Floris Bex, Filipe Borges, Daniele Bourcier, Paul Bourgine, Jack G. Conrad, Enrico Francesconi, Thomas F. Gordon, Guido Governatori, Jochen L. Leidner, David D. Lewis, Ronald P. Loui, L. Thorne McCarty, Henry Prakken, Frank Schilder, Erich Schweighofer, Paul Thompson, Alex Tyrrell, Bart Verheij, Douglas N. Walton & Adam Z. Wyner - 2012 - Artificial Intelligence and Law 20 (3):215-319.
    We provide a retrospective of 25 years of the International Conference on AI and Law, which was first held in 1987. Fifty papers have been selected from the thirteen conferences and each of them is described in a short subsection individually written by one of the 24 authors. These subsections attempt to place the paper discussed in the context of the development of AI and Law, while often offering some personal reactions and reflections. As a whole, the subsections build into (...)
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  24. Solving a Murder Case by Asking Critical Questions: An Approach to Fact-Finding in Terms of Argumentation and Story Schemes. [REVIEW]Floris Bex & Bart Verheij - 2012 - Argumentation 26 (3):325-353.
    In this paper, we look at reasoning with evidence and facts in criminal cases. We show how this reasoning may be analysed in a dialectical way by means of critical questions that point to typical sources of doubt. We discuss critical questions about the evidential arguments adduced, about the narrative accounts of the facts considered, and about the way in which the arguments and narratives are connected in an analysis. Our treatment shows how two different types of knowledge, represented as (...)
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