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Time, Trust and Normative Change. On Certain Sources of Complexity in Judicial Decision-Making

  • Conference paper
AI Approaches to the Complexity of Legal Systems (AICOL 2013)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8929))

Abstract

The aim of this paper is to outline a structure of legal knowledge that is involved in resolution of complex legal cases comprising intertemporal issues and constitutional problems. Although the topics of dynamics of legal systems are already well-elaborated in the AI and Law literature, the problem of constitutional admissibility of certain types of changes to the legal systems remains an underexplored issue. The model developed in this paper is designed to fill in this gap. The meta-information concerning admissibility of certain changes to legal systems (with regard to relevant constitutional principles) should become a standard element of any well-developed database of statutory legal knowledge.

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Author information

Authors and Affiliations

  1. Faculty of Law and Administration, Department of Legal Theory, Jagiellonian University, Bracka 12, 31-005, Kraków, Poland

    Michał Araszkiewicz

Authors
  1. Michał Araszkiewicz
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Editor information

Editors and Affiliations

  1. UAB Institute of Law and Technology, Autonomous, University of Barcelona, Bellaterra, Spain

    Pompeu Casanovas

  2. Torino Law School, University of Torino, Lungo Dora Siena 100, 10153, Turin, Italy

    Ugo Pagallo

  3. CIRSFID, University of Bologna, Via Zamboni, 33, 40126, Bologna, Italy

    Monica Palmirani

  4. CIRSFID, University of bologna, via Zamboni 33, 40126, bologna, Italy

    Giovanni Sartor

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Araszkiewicz, M. (2014). Time, Trust and Normative Change. On Certain Sources of Complexity in Judicial Decision-Making. In: Casanovas, P., Pagallo, U., Palmirani, M., Sartor, G. (eds) AI Approaches to the Complexity of Legal Systems. AICOL 2013. Lecture Notes in Computer Science(), vol 8929. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45960-7_8

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  • DOI: https://doi.org/10.1007/978-3-662-45960-7_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-45959-1

  • Online ISBN: 978-3-662-45960-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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