Handbook of logic in artificial intelligence and logic programming (vol. 3)
Animated specifications of computational societies
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 3
Relativized Deontic Modalities for Contractual Obligations in Formal Business Communication
HICSS '97 Proceedings of the 30th Hawaii International Conference on System Sciences: Information Systems Track—Internet and the Digital Economy - Volume 4
AMELI: An Agent-Based Middleware for Electronic Institutions
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 1
Defeasible Reasoning with e-Contracts
IAT '06 Proceedings of the IEEE/WIC/ACM international conference on Intelligent Agent Technology
Electronic institutions for B2B: dynamic normative environments
Artificial Intelligence and Law
Emergence of norms through social learning
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
An algorithm for conflict resolution in regulated compound activities
ESAW'06 Proceedings of the 7th international conference on Engineering societies in the agents world VII
A contract model for electronic institutions
COIN'07 Proceedings of the 2007 international conference on Coordination, organizations, institutions, and norms in agent systems III
Defeasible Deontic Logic
Norm refinement and design through inductive learning
COIN@AAMAS'10 Proceedings of the 6th international conference on Coordination, organizations, institutions, and norms in agent systems
Monitoring directed obligations with flexible deadlines: a rule-based approach
DALT'09 Proceedings of the 7th international conference on Declarative Agent Languages and Technologies
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Normative environments have been proposed to regulate agent interaction in open multi-agent systems. However, most approaches rely on pre-imposed regulations that agents are subject to. Taking a different stance, we focus on a normative framework that assists agents in establishing by themselves their own commitment norms. With that aim in mind, a model of norm defeasibility is presented that enables exploiting and adapting a normative background to different extents. We formalize the normative state using first-order logic and define rules and norms operating on that state. A suitable semantics regarding the use of norms within a hierarchical context structure is given, based on norm activation conflict and defeasibility.