Skip to main content
SpringerLink
Log in

Introduction: from legal theories to neural networks and fuzzy reasoning

  • Published:
Artificial Intelligence and Law Aims and scope Submit manuscript

Abstract

Computational approaches to the law have frequently been characterized as being formalistic implementations of the syllogistic model of legal cognition: using insufficient or contradictory data, making analogies, learning through examples and experiences, applying vague and imprecise standards. We argue that, on the contrary, studies on neural networks and fuzzy reasoning show how AI & law research can go beyond syllogism, and, in doing that, can provide substantial contributions to the law.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  • Grünhut, M. 1926. Begriffsbildung und Rechtsanwendung im Strafrecht. Tübingen: Mohr.

    Google Scholar 

  • Hart, H.L.A. 1961. The Concept of Law. Oxford: Oxford University Press.

    Google Scholar 

  • Hayek, F.A. 1973. Law Legislation and Liberty. Volume I. Rules and Order. London: Routledge and Kegan Paul.

    Google Scholar 

  • Hayek, F.A. 1976. Law Legislation and Liberty. Volume II. The Mirage of Social Justice. London: Routledge and Kegan Paul.

    Google Scholar 

  • Hayek, F.A. 1977. New Studies in Philosophy, Politics, Economics and the History of Ideas. London: Routledge and Kegan Paul.

    Google Scholar 

  • Hayek, F.A. 1979. Law Legislation and Liberty. Volume III. The Political Order of a Free People. London: Routledge and Kegan Paul.

    Google Scholar 

  • Heck, Ph. 1914. Gesetzesauslegung und Interessenjurisprudenz. Tübingen: Mohr.

    Google Scholar 

  • Kosko, B. 1993. Fuzzy Thinking, the New Science of Fuzzy Logic. New York: Hyperion.

    Google Scholar 

  • Perelman, Ch. and Olbrechts-Tyteca, L. 1969. The New Rhetoric. A Treatise on Argumentation. Notre Dame (Indiana): University of Notre Dame Press.

    Google Scholar 

  • Prakken, H. 1997. Logical Tools for Modelling Legal Argument. A Study of Defeasible Reasoning in Law. Dordrecht: Kluwer.

    Google Scholar 

  • Philipps, L. 1991. Tû-Tû 2. Von Rechtsbegriffen und neuronalen Netzen. In L. Philipps and R. Wittmann (eds), Rechtsentstehung und Rechtskultur. Festschrift für Heinrich Scholler, Heidelberg: Decker & Müller, pp. 179–189.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Institute of Philosophy of Law and Computers and Law, Ludwig-Maximilians-University, Professor-Huber-Platz 2, D-80539, München

    Lothar Philipps

  2. Law Faculty, Queen's University of Belfast, BT7 1NN, Northern Ireland

    Giovanni Sartor

Authors
  1. Lothar Philipps
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Giovanni Sartor
    View author publications

    You can also search for this author in PubMed Google Scholar

Rights and permissions

Reprints and permissions

About this article

Cite this article

Philipps, L., Sartor, G. Introduction: from legal theories to neural networks and fuzzy reasoning. Artificial Intelligence and Law 7, 115–128 (1999). https://doi.org/10.1023/A:1008371600675

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1023/A:1008371600675

Search

Navigation