•  175
    Hard cases: A procedural approach (review)
    with Ronald Leenes and Arno R. Lodder
    Artificial Intelligence and Law 2 (2): 113-167. 1993.
    Much work on legal knowledge systems treats legal reasoning as arguments that lead from a description of the law and the facts of a case, to the legal conclusion for the case. The reasoning steps of the inference engine parallel the logical steps by means of which the legal conclusion is derived from the factual and legal premises. In short, the relation between the input and the output of a legal inference engine is a logical one. The truth of the conclusion only depends on the premises, and is…Read more
  •  146
    A theory of legal reasoning and a logic to match
    Artificial Intelligence and Law 4 (3-4): 199-273. 1996.
    This paper describes a model of legal reasoning and a logic for reasoning with rules, principles and goals that is especially suited to this model of legal reasoning. The paper consists of three parts. The first part describes a model of legal reasoning based on a two-layered view of the law. The first layer consists of principles and goals that express fundamental ideas of a legal system. The second layer contains legal rules which in a sense summarise the outcome of the interaction of the prin…Read more
  •  112
    Law and defeasibility
    Artificial Intelligence and Law 11 (2-3): 221-243. 2003.
    The paper consists of three parts. In the first part five kinds of defeasibility are distinguished that is ontological, conceptual, epistemic, justification and logical defeasibility. In the second part it is argued that from these, justification defeat is the phenomenon that plays a role in legal reasoning. In the third part, the view is defended that non-monotonic logics are not necessary to model justification defeat, but that they are so to speak the natural way to model this phenomenon.
  •  89
    Donald NUTE (ed.), Defeasible deontic logic
    Artificial Intelligence and Law 8 (1): 75-91. 2000.
  •  78
    Dialectical models in artificial intelligence and law
    Artificial Intelligence and Law 8 (2-3): 137-172. 2000.
    Dialogues and dialectics have come to playan important role in the field of ArtificialIntelligence and Law. This paper describes thelegal-theoretical and logical background of this role,and discusses the different services into whichdialogues are put. These services include:characterising logical operators, modelling thedefeasibility of legal reasoning, providing the basisfor legal justification and identifying legal issues,and establishing the law in concrete cases. Specialattention is given to…Read more
  •  71
    Theoretical foundations for the responsibility of autonomous agents
    Artificial Intelligence and Law 25 (3): 255-271. 2017.
    This article argues that it is possible to hold autonomous agents themselves, and not only their makers, users or owners, responsible for the acts of these agents. In this connection autonomous systems are computer programs that interact with the outside world without human interference. They include such systems as ‘intelligent’ weapons and self-driving cars. The argument is based on an analogy between human beings and autonomous agents and its main element asserts that if humans can be held re…Read more
  •  56
    Constructivist Facts as the Bridge Between Is and Ought
    International Journal for the Semiotics of Law - Revue Internationale de Sémiotique Juridique 36 (1): 53-81. 2022.
    This article describes how the facts in social reality take an intermediate position between objective facts and purely subjective ‘facts’. In turn, these social facts can be subdivided into constructivist and non-constructivist facts. The defining difference is that non-constructivist facts are completely determined by an approximate consensus between the members of a social group, while constructivist facts are founded in such a consensus but can nevertheless be questioned. Ought fact are such…Read more
  •  55
    Law, Morals and Defeasibility
    with Aleksander Peczenik
    Ratio Juris 13 (3): 305-325. 2000.
    This paper gives a logical characterization of the interrelation between law and morals. To this purpose it first outlines a logic for defeasible reasoning with rules and principles and illustrates the operation of this logic in the field of law. Then it offers a brief argument why law and morals are interrelated. This paper ends by showing how the logic for defeasible reasoning provides tools to logically characterize some aspects of the interrelation between law and morals.
  •  54
    Rule consistency
    Law and Philosophy 19 (3): 369-390. 2000.
    This paper develops the theory that a set of rules is consistent if it is not possible that (1) the conditions of the rules in the set are all satisfied, (2) there is no exception to either one of the rules, and (3) the consequences of the rules are incompatible. To this purpose the notion of consistency is generalised to make it cover rules and is relativised to some background of constraints.This theory is formalised by means of Rule Logic, in which rules are treated as constraints on the poss…Read more
  •  53
  •  46
    An integrated view on rules and principles
    with Bart Verheij and H. Jaap Van Den Herik
    Artificial Intelligence and Law 6 (1): 3-26. 1998.
    In the law, it is generally acknowledged that there are intuitive differences between reasoning with rules and reasoning with principles. For instance, a rule seems to lead directly to its conclusion if its condition is satisfied, while a principle seems to lead merely to a reason for its conclusion. However, the implications of these intuitive differences for the logical status of rules and principles remain controversial.A radical opinion has been put forward by Dworkin (1978). The intuitive d…Read more
  •  44
    Legal Validity and Soft Law (edited book)
    with Anne Mackor, Stephan Kirste, and Pauline Westerman
    Springer Verlag. 2018.
    This book features essays that investigate the nature of legal validity from the point of view of different traditions and disciplines. Validity is a fascinating and elusive characteristic of law that in itself deserves to be explored, but further investigation is made more acute and necessary by the production, nowadays, of soft law products of regulation, such as declarations, self-regulatory codes, and standardization norms. These types of rules may not exhibit the characteristics of formal l…Read more
  •  42
    Rule-applying legal arguments are traditionally treated as a kind of syllogism. Such a treatment overlooks the fact that legal principles and rules are not statements which describe the world, but rather means by which humans impose structure on the world. Legal rules create legal consequences, they do not describe them. This has consequences for the logic of rule- and principle-applying arguments, the most important of which may be that such arguments are defeasible. This book offers an extensi…Read more
  •  31
    Comparing alternatives in the law
    Artificial Intelligence and Law 12 (3): 181-225. 2004.
    This paper argues the thesis that a particular style of reasoning, qualitative comparative reasoning (QCR), plays a role in at least three areas of legal reasoning that are central in AI and law research, namely legal theory construction, case-based reasoning in the form of case comparison, and legal proof. The paper gives an informal exposition of one particular way to deal with QCR, based on the author’s previous work on reason-based logic (RBL). Then it contains a substantially adapted formal…Read more
  •  28
    A model of juridical acts: part 1: the world of law (review)
    Artificial Intelligence and Law 19 (1): 23-48. 2011.
    This paper aims at providing an account of juridical acts that forms a suitable starting point for the creation of computational systems that deal with juridical acts. The paper is divided into two parts. Because juridical acts will be analyzed as intentional changes in the world of law, the ‘furniture’ of this world, that consists broadly speaking of entities, facts and rules, plays a central role in the analysis. This first part of the paper deals with this furniture and its philosophical unde…Read more
  •  27
    Introduction. Papers from the jurix '95 conference
    Artificial Intelligence and Law 5 (4): 243-248. 1997.
  •  26
    Book review (review)
    Artificial Intelligence and Law 2 (4): 315-323. 1993.
  •  25
    Law and Coherence
    Ratio Juris 17 (1): 87-105. 2004.
    This paper deals with the questions of whether the law should be coherent and what this coherence would amount to. In this connection so‐called “integrated coherentism” is introduced. According to integrated coherentism, an acceptance set is coherent if and only if it contains everything that should rationally be accepted according to what else one accepts and does not contain anything that should rationally be rejected according to what else one accepts. Such an acceptance set is ideally a theo…Read more
  •  23
    A model of juridical acts: part 2: the operation of juridical acts (review)
    Artificial Intelligence and Law 19 (1): 49-73. 2011.
    This paper aims at providing an account of juridical acts that forms a suitable starting point for the creation of computational systems that deal with juridical acts. The paper is divided into two parts. This second part of the paper deals in some detail with the operation of juridical acts. Topics dealt with include: power and competence, capacity, form requirements, partial validity, avoidance and representation
  •  23
    Introduction to the special issue on machine law
    with Bartosz Brożek and Bipin Indurkhya
    Artificial Intelligence and Law 25 (3): 251-253. 2017.
  •  22
    The Logic of Analogy in the Law
    Argumentation 19 (4): 401-415. 2005.
    This paper deals with two issues in the field of reasoning by analogy in the law. The one issue is whether there exists such a thing as analogous rule application, or whether there is only the ‘normal’ application of a broadened rule. It is argued that if rules, as the entities made by a legislator, are distinguished from generalised solutions for cases, the idea of analogous application of rules makes sense. It is also shown how the so-called ‘reason-based model of rule application’, in contras…Read more
  •  19
    Anything Goes: An Apology for Parallel Distributed Legal Science
    Informal Logic 36 (3): 271-287. 2016.
    Doctrinal legal science seems to lack a proper method and purpose. This interpretation clarifies its value. The backbone of the argu- ment consists of two theses. The first is that coherence—in a sense unusu- al in law—plays a crucial role in legal science. The second is that doctrinal legal science is a social enterprise and this should be consid- ered in attempts to understand it. Based on these, a picture of doctrinal legal science is given consisting of parallel distributed constructions of …Read more
  •  18
    Elusive normativity
    Netherlands Journal of Legal Philosophy 40 (2): 146-168. 2011.
  •  18
    Legal Knowledge about What?
    with Aleksander Peczenik
    Ratio Juris 13 (3): 326-345. 2000.
    We assume—in contrast to many “legal realists”—that law is a part of reality. Law exists because people believe in law, but law is not identical with beliefs. Law supervenes on human beliefs, preferences, actions, dispositions and artefacts. Moreover, the morally binding personal interpretation of the law supervenes on two things together: on the individual's knowledge of legal institutions and on moral obligation. The first supervenes in its turn on mutual beliefs; the second supervenes on moti…Read more
  •  17
    Law and Mind: A Survey of Law and the Cognitive Sciences (edited book)
    with Bartosz Brożek and Nicole Vincent
    Cambridge University Press. 2021.
    Are the cognitive sciences relevant for law? How do they influence legal theory and practice? Should lawyers become part-time cognitive scientists? The recent advances in the cognitive sciences have reshaped our conceptions of human decision-making and behavior. Many claim, for instance, that we can no longer view ourselves as purely rational agents equipped with free will. This change is vitally important for lawyers, who are forced to rethink the foundations of their theories and the framework…Read more
  •  17
    Preface
    Artificial Intelligence and Law 11 (2-3): 77-79. 2003.
    The paper consists of three parts. In the first part five kinds of defeasibility are distinguished that is ontological, conceptual, epistemic, justification and logical defeasibility. In the second part it is argued that from these, justification defeat is the phenomenon that plays a role in legal reasoning. In the third part, the view is defended that non-monotonic logics are not necessary to model justification defeat, but that they are so to speak the natural way to model this phenomenon.
  •  11
    Recht als sociaal feit en recht als praktische rede
    Netherlands Journal of Legal Philosophy 38 (1): 27-36. 2009.
    Brouwer argued against a vision of the law in which moral considerations partly determine the contents of the law. He did this for moral reasons, mainly because of the uncertainty such a vision would cause. This seems a strange view because it means that the nature of the law would depend on moral considerations concerning legal certainty. Most of the present paper is devoted to exploring two conceptions of the law, law as social fact and law as practical reason. It is argued that a view like Br…Read more
  •  11
    Introduction to Law (edited book)
    with Bram Akkermans and Antonia Waltermann
    Imprint: Springer. 2014.
    This book is exceptional in the sense that it provides an introduction to law in general rather than the law of one specific jurisdiction, and it presents a unique way of looking at legal education. It is crucial for lawyers to be aware of the different ways in which societal problems can be solved and to be able to discuss the advantages and disadvantages of different legal solutions. In this respect, being a lawyer involves being able to reason like a lawyer, even more than having detailed kno…Read more
  •  10
    Book review (review)
    Artificial Intelligence and Law 2 (4): 315-323. 1994.