AI Approaches to the Complexity of Legal Systems. Models and Ethical Challenges for Legal Systems, Legal Language and Legal Ontologies, Argumentation and Software Agents

International Workshop AICOL-III, Held as Part of the 25th IVR Congress, Frankfurt am Main, Germany, August 15-16, 2011. Revised Selected Papers

  • Monica Palmirani
  • Ugo Pagallo
  • Pompeu Casanovas
  • Giovanni Sartor
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7639)

Table of contents

  1. Front Matter
  2. Models for the Legal System

  3. Ethics and the Regulation of ICT

  4. Legal Knowledge Management

    1. Tommaso Agnoloni, Maria-Teresa Sagri, Daniela Tiscornia
      Pages 93-105
    2. Radboud Winkels, Jelle de Ruyter
      Pages 106-115
    3. Marcello Ceci, Monica Palmirani
      Pages 116-130
    4. Guido Boella, Llio Humphreys, Marco Martin, Piercarlo Rossi, Leendert van der Torre
      Pages 131-146
  5. Legal Information for Open Access

    1. Enrico Francesconi, Ginevra Peruginelli
      Pages 162-170
  6. Software Agent Systems in the Legal Domain

  7. Legal Language and Legal Ontology

    1. Marcello Ceci, Leonardo Lesmo, Alessandro Mazzei, Monica Palmirani, Daniele P. Radicioni
      Pages 245-255
    2. Matěj Myška, Terezie Smejkalová, Jaromír Šavelka, Martin Škop
      Pages 271-285

About these proceedings

Introduction

The inspiring idea of this workshop series, Artificial Intelligence Approaches to the Complexity of Legal Systems (AICOL), is to develop models of legal knowledge concerning organization, structure, and content in order to promote mutual understanding and communication between different systems and cultures. Complexity and complex systems describe recent developments in AI and law, legal theory, argumentation, the Semantic Web, and multi-agent systems. Multisystem and multilingual ontologies provide an important opportunity to integrate different trends of research in AI and law, including comparative legal studies. Complexity theory, graph theory, game theory, and any other contributions from the mathematical disciplines can help both to formalize the dynamics of legal systems and to capture relations among norms. Cognitive science can help the modeling of legal ontology by taking into account not only the formal features of law but also social behaviour, psychology, and cultural factors. This book is thus meant to support scholars in different areas of science in sharing knowledge and methodological approaches. This volume collects the contributions to the workshop's third edition, which took place as part of the 25th IVR congress of Philosophy of Law and Social Philosophy, held in Frankfurt, Germany, in August 2011. This volume comprises six main parts devoted to the each of the six topics addressed in the workshop, namely: models for the legal system ethics and the regulation of ICT, legal knowledge management, legal information for open access, software agent systems in the legal domain, as well as legal language and legal ontology.

Keywords

cloud computing knowledge modeling law and robotics multi-agent system semantic mapping

Editors and affiliations

  • Monica Palmirani
    • 1
  • Ugo Pagallo
    • 2
  • Pompeu Casanovas
    • 3
  • Giovanni Sartor
    • 4
  1. 1.University of BolognaItaly
  2. 2.Torino Law SchoolUniversity of TorinoTorinoItaly
  3. 3.Institute of Law and TechnologyUniversitat Autònoma de BarcelonaBarcelonaSpain
  4. 4.European University Institute and CIRSFIDBolognaItaly

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-35731-2
  • Copyright Information Springer-Verlag Berlin Heidelberg 2012
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-35730-5
  • Online ISBN 978-3-642-35731-2
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349