Philosophical foundations of deontic logic and the logic of defeasible conditionals
Deontic logic in computer science
Obligations directed from bearers to counterparts
ICAIL '95 Proceedings of the 5th international conference on Artificial intelligence and law
Better language, better thought, better communication: the A-Hohfeld language for legal analysis
ICAIL '95 Proceedings of the 5th international conference on Artificial intelligence and law
Generating exception structures for legal information serving
ICAIL '99 Proceedings of the 7th international conference on Artificial intelligence and law
The law as a dynamic interconnected system of states of affairs: a legal top ontology
International Journal of Human-Computer Studies - Model—based legal knowledge engineering
Legal modeling and automated reasoning with ON—LINE
International Journal of Human-Computer Studies - Model—based legal knowledge engineering
A principled approach to developing legal knowledge systems
International Journal of Human-Computer Studies - Model—based legal knowledge engineering
Evaluating ontological decisions with OntoClean
Communications of the ACM - Ontology: different ways of representing the same concept
Supporting ontological analysis of taxonomic relationships
Data & Knowledge Engineering - ER2000
Sweetening Ontologies with DOLCE
EKAW '02 Proceedings of the 13th International Conference on Knowledge Engineering and Knowledge Management. Ontologies and the Semantic Web
The Definition of Legal Relations in a BDI Multiagent Framework
AI*IA 01 Proceedings of the 7th Congress of the Italian Association for Artificial Intelligence on Advances in Artificial Intelligence
Ontology-driven Access to Legal Information
DEXA '01 Proceedings of the 12th International Workshop on Database and Expert Systems Applications
Cancelling and overshadowing two types of defeasibility in defeasible deontic logic
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
Ontologies and reasoning techniques for (legal) intelligent information retrieval systems
Artificial Intelligence and Law
Mixing Legal and Non-legal Norms
Proceedings of the 2005 conference on Legal Knowledge and Information Systems: JURIX 2005: The Eighteenth Annual Conference
Legal Theory, Sources of Law and the Semantic Web
Proceedings of the 2009 conference on Legal Theory, Sources of Law and the Semantic Web
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This article describes an ontological model of norms. The basic assumption is that a substantial part of a legal system is grounded on the concept of agency. Since a legal system aims at regulating a society, then its goal can be achieved only by affecting the behavior of the members of the society. We assume that a society is made up of agents (which can be individuals, institutions, software programs, etc.), that agents have beliefs, goals and preferences, and that they commit to intentions in order to choose a line of behavior. The role of norms, within a legal system, is to specify how and when the chosen behavior agrees with the basic principles of the legal system. In this article, we show how a model based on plans can be the basis for the ontological representation of norms, linking them to the upper level of a philosophically well-founded ontology (DOLCE); in this way, the model is set in a wider perspective, which opens the way to further developments.