AI Approaches to the Complexity of Legal Systems. Complex Systems, the Semantic Web, Ontologies, Argumentation, and Dialogue
Casanovas, Pompeu.
AI Approaches to the Complexity of Legal Systems. Complex Systems, the Semantic Web, Ontologies, Argumentation, and Dialogue International Workshops AICOL-I/IVR-XXIV Beijing, China, September19, 2009 and AICOL-II/JURIX 2009, Rotterdam,The Netherlands, December 16, 2009 Revised Selected Papers / [recurso electrónico] : edited by Pompeu Casanovas, Ugo Pagallo, Giovanni Sartor, Gianmaria Ajani. - X, 243p. 62 illus. online resource. - Lecture Notes in Computer Science, 6237 0302-9743 ; . - Lecture Notes in Computer Science, 6237 .
AI Approaches to the Complexity of Legal Systems -- Introduction: Complex Systems and Six Challenges for the Development of Law and the Semantic Web -- I Language and Complex Systems in Law -- As Law Goes By: Topology, Ontology, Evolution -- Sailing the Semantic Seas by Structural Vessels: Problems and Perspectives for the Identification of Implicit Knowledge in the Legal Domain -- Network Analysis of the French Environmental Code -- Model Regularity of Legal Language in Active Modifications -- II Ontologies and the Representation of Legal Knowledge -- Traceability and Change in Legal Requirements Engineering -- When a FrameNet-Style Knowledge Description Meets an Ontological Characterization of Fundamental Legal Concepts -- Application of an Ontology-Based Model to a Selected Fraudulent Disbursement Economic Crime -- Multi-layer Markup and Ontological Structures in Akoma Ntoso -- III Argumentation and Logics -- Prescriptive and Descriptive Obligations in Dynamic Epistemic Deontic Logic -- Lex Minus Dixit Quam Voluit, Lex Magis Dixit Quam Voluit: A Formal Study on Legal Compliance and Interpretation -- IV Dialogue and Legal Multimedia -- Legal Electronic Institutions and ONTOMEDIA: Dialogue, Inventio, and Relational Justice Scenarios -- Mediation, ODR, and the Web 2.0: A Case for Relational Justice -- Legal “Neutral Dialogue”, Implementing the Work of Bruce Ackerman in the Field of Law -- Legal Multimedia Management through JPEG2000 Framework.
topology, since the set of nodes with highest degree represents the main core of thetaxonomywith the shortestaveragedistance-concepts.The domainofmul- system and multi-lingual ontologies o?ers the opportunity to integrate arti?cial intelligence not only with legal theory,but also with further, more empirical and comparative, legal studies. The relation of legal ontologies, multi-agent systems, and distributed n- works, is only one, albeit important, among many other examples of research in AI and law. The aim of the AICOL workshops is thus to o?er e?ective support for the exchange of knowledge and methodological approaches between scholars from di?erent scienti?c ?elds, by highlighting their similarities and di?erences. The comparison of multiple formal approaches to the law—such as logical m- els, cognitive theories, argumentation frameworks, graph theory, game theory, as well as opposite perspectives like the internal and the external viewpoints— should stress possible convergences, as for instance in the realms of conc- tual structures, argumentation schemes, emergent behaviors,learning evolution, adaptation, and simulation. WewouldliketothanktheAICOLreviewersandtheOrganizingCommittees oftheJURIX2009andIVR2009conferences.WewouldalsoliketothankAlfred Hofmann for being so sensitive to the main AICOL idea. The following projects allowed the conception and organization of the research workshops, and the edition of this ?rst volume: CSO-2008-05536-SOCI, TSI-020110-2009-39, TSI- 020110-2009-374, TSI-020501-2008-131, TSI-020100-2008-134, and JLS-28002- CFP-CJ-08.
9783642165245
Computer science.
Computer Communication Networks.
Data mining.
Information systems.
Artificial intelligence.
Law.
Computer Science.
Artificial Intelligence (incl. Robotics).
Information Systems Applications (incl.Internet).
Data Mining and Knowledge Discovery.
Computer Communication Networks.
Computers and Society.
Law, general.
Q334-342 TJ210.2-211.495
006.3
AI Approaches to the Complexity of Legal Systems. Complex Systems, the Semantic Web, Ontologies, Argumentation, and Dialogue International Workshops AICOL-I/IVR-XXIV Beijing, China, September19, 2009 and AICOL-II/JURIX 2009, Rotterdam,The Netherlands, December 16, 2009 Revised Selected Papers / [recurso electrónico] : edited by Pompeu Casanovas, Ugo Pagallo, Giovanni Sartor, Gianmaria Ajani. - X, 243p. 62 illus. online resource. - Lecture Notes in Computer Science, 6237 0302-9743 ; . - Lecture Notes in Computer Science, 6237 .
AI Approaches to the Complexity of Legal Systems -- Introduction: Complex Systems and Six Challenges for the Development of Law and the Semantic Web -- I Language and Complex Systems in Law -- As Law Goes By: Topology, Ontology, Evolution -- Sailing the Semantic Seas by Structural Vessels: Problems and Perspectives for the Identification of Implicit Knowledge in the Legal Domain -- Network Analysis of the French Environmental Code -- Model Regularity of Legal Language in Active Modifications -- II Ontologies and the Representation of Legal Knowledge -- Traceability and Change in Legal Requirements Engineering -- When a FrameNet-Style Knowledge Description Meets an Ontological Characterization of Fundamental Legal Concepts -- Application of an Ontology-Based Model to a Selected Fraudulent Disbursement Economic Crime -- Multi-layer Markup and Ontological Structures in Akoma Ntoso -- III Argumentation and Logics -- Prescriptive and Descriptive Obligations in Dynamic Epistemic Deontic Logic -- Lex Minus Dixit Quam Voluit, Lex Magis Dixit Quam Voluit: A Formal Study on Legal Compliance and Interpretation -- IV Dialogue and Legal Multimedia -- Legal Electronic Institutions and ONTOMEDIA: Dialogue, Inventio, and Relational Justice Scenarios -- Mediation, ODR, and the Web 2.0: A Case for Relational Justice -- Legal “Neutral Dialogue”, Implementing the Work of Bruce Ackerman in the Field of Law -- Legal Multimedia Management through JPEG2000 Framework.
topology, since the set of nodes with highest degree represents the main core of thetaxonomywith the shortestaveragedistance-concepts.The domainofmul- system and multi-lingual ontologies o?ers the opportunity to integrate arti?cial intelligence not only with legal theory,but also with further, more empirical and comparative, legal studies. The relation of legal ontologies, multi-agent systems, and distributed n- works, is only one, albeit important, among many other examples of research in AI and law. The aim of the AICOL workshops is thus to o?er e?ective support for the exchange of knowledge and methodological approaches between scholars from di?erent scienti?c ?elds, by highlighting their similarities and di?erences. The comparison of multiple formal approaches to the law—such as logical m- els, cognitive theories, argumentation frameworks, graph theory, game theory, as well as opposite perspectives like the internal and the external viewpoints— should stress possible convergences, as for instance in the realms of conc- tual structures, argumentation schemes, emergent behaviors,learning evolution, adaptation, and simulation. WewouldliketothanktheAICOLreviewersandtheOrganizingCommittees oftheJURIX2009andIVR2009conferences.WewouldalsoliketothankAlfred Hofmann for being so sensitive to the main AICOL idea. The following projects allowed the conception and organization of the research workshops, and the edition of this ?rst volume: CSO-2008-05536-SOCI, TSI-020110-2009-39, TSI- 020110-2009-374, TSI-020501-2008-131, TSI-020100-2008-134, and JLS-28002- CFP-CJ-08.
9783642165245
Computer science.
Computer Communication Networks.
Data mining.
Information systems.
Artificial intelligence.
Law.
Computer Science.
Artificial Intelligence (incl. Robotics).
Information Systems Applications (incl.Internet).
Data Mining and Knowledge Discovery.
Computer Communication Networks.
Computers and Society.
Law, general.
Q334-342 TJ210.2-211.495
006.3
