AI Approaches to the Complexity of Legal Systems - Models and Ethical Challenges for Legal Systems, Legal Language and Legal Ontologies, Argumentation and Software Agents [[electronic resource] ] : International Workshop AICOL-III, Held as Part of the 25th IVR Congress, Frankfurt am Main, Germany, August 15-16, 2011. Revised Selected Papers / / edited by Monica Palmirani, Ugo Pagallo, Pompeu Casanovas, Giovanni Sartor

• Pubblicazione: Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2012
• Edizione: 1st ed. 2012.
• Descrizione fisica: 1 online resource (XIV, 309 p. 67 illus.)
• Disciplina: 343.0999
• Soggetto topico: Artificial intelligence; Application software; Data mining; Computer communication systems; Computers and civilization; Law; Artificial Intelligence; Information Systems Applications (incl. Internet); Data Mining and Knowledge Discovery; Computer Communication Networks; Computers and Society; Law, general
• Persona (resp. second.): PalmiraniMonica; PagalloUgo; CasanovasPompeu; SartorGiovanni
• Note generali: Bibliographic Level Mode of Issuance: Monograph
• Nota di contenuto: AI and law -- legal theory -- argumentation -- the Semantic Web -- multi-agent systems.
• Sommario/riassunto: 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.
• Titolo autorizzato: AI Approaches to the Complexity of Legal Systems - Models and Ethical Challenges for Legal Systems, Legal Language and Legal Ontologies, Argumentation and Software Agents
• ISBN: 3-642-35731-8
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 996466035003316
• Lo trovi qui: Univ. di Salerno
• Serie: Lecture Notes in Artificial Intelligence ; ; 7639