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

1. Front Matter

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2. Models for the Legal System

   1. Compliance with Normative Systems

      • Giovanni Sartor

      Pages 1-32

   2. Coherence-Based Account of the Doctrine of Consistent Interpretation

      • Michał Araszkiewicz

      Pages 33-47

3. Ethics and the Regulation of ICT

   1. Three Roads to Complexity, AI and the Law of Robots: On Crimes, Contracts, and Torts

      • Ugo Pagallo

      Pages 48-60

   2. The Legal Challenges of Networked Robotics: From the Safety Intelligence Perspective

      • Yueh-Hsuan Weng, Sophie Ting Hong Zhao

      Pages 61-72

   3. Cloud Computting: New Research Perspectives for Computers and Law

      • Daniele Bourcier, Primavera De Filippi

      Pages 73-92

4. Legal Knowledge Management

   1. Balancing Rights and Values in the Italian Courts: A Benchmark for a Quantitative Analysis

      • Tommaso Agnoloni, Maria-Teresa Sagri, Daniela Tiscornia

      Pages 93-105

   2. Survival of the Fittest: Network Analysis of Dutch Supreme Court Cases

      • Radboud Winkels, Jelle de Ruyter

      Pages 106-115

   3. Ontology Framework for Judgment Modelling

      • Marcello Ceci, Monica Palmirani

      Pages 116-130

   4. Eunomos, a Legal Document and Knowledge Management System to Build Legal Services

      • Guido Boella, Llio Humphreys, Marco Martin, Piercarlo Rossi, Leendert van der Torre

      Pages 131-146

   5. Axioms on a Semantic Model for Legislation for Accessing and Reasoning over Normative Provisions

      • Enrico Francesconi

      Pages 147-161

5. Legal Information for Open Access

   1. An Open Access Policy for Legal Informatics Dissemination and Sharing

      • Enrico Francesconi, Ginevra Peruginelli

      Pages 162-170

   2. Advancing an Open Access Publication Model for Legal Information Institutes

      • Pompeu Casanovas, Enric Plaza

      Pages 171-188

6. Software Agent Systems in the Legal Domain

   1. Combinations of Normal and Non-normal Modal Logics for Modeling Collective Trust in Normative MAS

      • Clara Smith, Agustín Ambrossio, Leandro Mendoza, Antonino Rotolo

      Pages 189-203

   2. Software Agents as Boundary Objects

      • Migle Laukyte

      Pages 204-216

   3. Argumentation and Intuitive Decision Making: Criminal Sentencing and Sentence Indication

      • Andrew Vincent

      Pages 217-234

   4. Application of Model-Based Diagnosis to Multi-Agent Systems Representing Public Administration

      • Alexander Boer, Tom van Engers

      Pages 235-244

7. Legal Language and Legal Ontology

   1. Semantic Annotation of Legal Texts through a FrameNet-Based Approach

      • Marcello Ceci, Leonardo Lesmo, Alessandro Mazzei, Monica Palmirani, Daniele P. Radicioni

      Pages 245-255

   2. Developing a Frame-Based Lexicon for the Brazilian Legal Language: The Case of the Criminal_Process Frame

      • Anderson Bertoldi, Rove Luiza de Oliveira Chishman

      Pages 256-270

   3. Creative Commons and Grand Challenge to Make Legal Language Simple

      • Matěj Myška, Terezie Smejkalová, Jaromír Šavelka, Martin Škop

      Pages 271-285

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.

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

• University of Bologna, Italy

  Monica Palmirani

• Torino Law School, University of Torino, Torino, Italy

  Ugo Pagallo

• Institute of Law and Technology, Universitat Autònoma de Barcelona, Barcelona, Spain

  Pompeu Casanovas

• European University Institute and CIRSFID, Bologna, Italy

  Giovanni Sartor

Policies and ethics