The inspiring idea behind 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 other contributions from the mathematical disciplines can help both to formalize the dynamics of legal systems and to capture relations among norms. The modeling of legal ontology can benefit from cognitive science, taking into account not only the formal features of law but also social behavior, psychology, and cultural factors. This book is thus meant to support scholars working in different areas of science in sharing knowledge and methodological approaches. This volume collects the contributions to the third workshop in the series, which took place as part of the 25th IVR congress on Philosophy of Law and Social Philosophy, held in Frankfurt, Germany, in August 2011. It comprises six main parts devoted to each of the six topics addressed during the workshop; namely, models for the legal systems, 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.
Preface to AI Approaches to the Complexity of Legal Systems. Models and Ethical Challenges for Legal Systems, Legal Language and Legal Ontologies, Argumentation and Software Agents
PAGALLO, Ugo;
2012-01-01
Abstract
The inspiring idea behind 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 other contributions from the mathematical disciplines can help both to formalize the dynamics of legal systems and to capture relations among norms. The modeling of legal ontology can benefit from cognitive science, taking into account not only the formal features of law but also social behavior, psychology, and cultural factors. This book is thus meant to support scholars working in different areas of science in sharing knowledge and methodological approaches. This volume collects the contributions to the third workshop in the series, which took place as part of the 25th IVR congress on Philosophy of Law and Social Philosophy, held in Frankfurt, Germany, in August 2011. It comprises six main parts devoted to each of the six topics addressed during the workshop; namely, models for the legal systems, 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.
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