By Giovanni Sartor (auth.), Monica Palmirani, Ugo Pagallo, Pompeu Casanovas, Giovanni Sartor (eds.)
The inspiring notion of this workshop sequence, man made Intelligence ways to the Complexity of felony platforms (AICOL), is to advance versions of criminal wisdom referring to association, constitution, and content material so that it will advertise mutual knowing and communique among varied structures and cultures. Complexity and complicated structures describe fresh advancements in AI and legislations, criminal idea, argumentation, the Semantic internet, and multi-agent platforms. Multisystem and multilingual ontologies offer a big chance to combine diverse traits of study in AI and legislation, together with comparative felony stories. Complexity thought, graph conception, video game idea, and the other contributions from the mathematical disciplines may help either to formalize the dynamics of criminal platforms and to catch kin between norms. Cognitive technology might help the modeling of criminal ontology by means of considering not just the formal gains of legislations but additionally social behaviour, psychology, and cultural components. This publication is therefore intended to help students in numerous components of technology in sharing wisdom and methodological ways. This quantity collects the contributions to the workshop's 3rd version, which happened as a part of the twenty fifth IVR congress of Philosophy of legislations and Social Philosophy, held in Frankfurt, Germany, in August 2011. This quantity includes six major components dedicated to the all of the six issues addressed within the workshop, specifically: versions for the felony process ethics and the law of ICT, felony wisdom administration, felony details for open entry, software program agent platforms within the criminal area, in addition to criminal language and felony ontology.
Read or Download AI Approaches to the Complexity of Legal Systems. Models and Ethical Challenges for Legal Systems, Legal Language and Legal Ontologies, Argumentation and Software Agents: International Workshop AICOL-III, Held as Part of the 25th IVR Congress, Frankfurt a PDF
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Extra resources for AI Approaches to the Complexity of Legal Systems. Models and Ethical Challenges for Legal Systems, Legal Language and Legal Ontologies, Argumentation and Software Agents: International Workshop AICOL-III, Held as Part of the 25th IVR Congress, Frankfurt a
Yu, B. ) International Workshop on Regulated Agent-Based Social Systems: Theories and Applications (RASTA 2002), pp. 131–147. : Declarative power, representation, and mandate: A formal analysis. In: Proceedings of the Fifteenth Annual Conference on Legal Knowledge and Information Systems (JURIX), pp. 41–52. : A defeasible logic for modelling policy-based intentions and motivational attitudes. : Norm modiﬁcations in defeasible logic. In: Proceedings of Jurix 2006, pp. 13–22. : Variants of temporal defeasible logics for modelling norm modiﬁcations.
Usually common citizens usually approach tax issues with the help of tax experts, who give them some indications of what obligations follow from tax law under speciﬁc real or hypothetical cases, what sanctions may follow from violating such obligations, what line of actions are most advantageous with regard to tax-law eﬀects. On the basis of this fragmentary information, law-abiding people will determine how to comply with tax law. Let us try to analyse the reasoning process involved in applying this kind of normative information (and more generally all complex normative systems, such as advanced legal systems).
Fourth, it is possible to have rules in the forms of defeasible bi-implications (⇔). Def. 2. Legal Conclusion. Legal conclusion LC is a proposition of the following form ψC, where C represents the case which is to be decided. Commentary. An example of a LC is for instance the following expression [liable] (Tom, John) which reads as “Tom is liable to John”. The problem how to arrive from abstract consequents of rules to concrete legal conclusions will be explained below while commenting on the definition of rulebased constraints.