AI Approaches to the Complexity of Legal Systems

Introduction.- Law, Social Intelligence, nMAS and the Semantic Web: An Overview.- I Social Intelligence and Legal Conceptual Models The Legal Roots of Social Intelligence and the Challenges of the Information Revolution.- Methods for Law and ICT: An Approach for the Development of Smart Cities.- Opening Public Deliberations: Transparency, Privacy, Anonymisation.- Online Dispute Resolution and Models of Relational Law and Justice: A Table of Ethical Principles.- Drafting a Composite Indicator of Validity for Regulatory Models and Legal Systems.- Legal Theory, Normative Systems and Software Agents Measuring the Complexity of the Legal Order over Time.- Time, Trust and Normative Change. On Certain Sources of Complexity in Judicial Decision-Making.- The Construction of Models and Roles in Normative Systems.- Integrating Legal-URN and Eunomos: Towards a Comprehensive Compliance Management Solution.- Criminal Liability of Autonomous Agents: From the Unthinkable to the Plausible.- Semantic Web Technologies, Legal Ontologies and Argumentation Extraction of Legal Definitions and Their Explanations with Accessible Citations.- Representing Judicial Argumentation in the Semantic Web.- On the Road to Regulatory Ontologies: Interpreting Regulations with SBVR.- Conceptual Modeling of Judicial Procedures in the e-Codex Project. -Organized Crime Structure Modelling for European Law Enforcement Agencies Interoperability through Ontologies.- Crowdsourcing and Online Dispute Resolution (ODR) Harnessing Content and Context for Enhanced Decision Making.- Consumedia. Functionalities, Emotion Detection and Automation of Services in a ODR Platform.- Crowdsourcing Tools for Disaster Management: A Review of Platforms and Methods.- A Method for Defining Human-Machine Micro-task Workflows for Gathering Legal Information.