A logical framework for default reasoning
Artificial Intelligence
Handbook of logic in artificial intelligence and logic programming (vol. 3)
On the logic of iterated belief revision
Artificial Intelligence
Modal logic
Revisions of knowledge systems using epistemic entrenchment
TARK '88 Proceedings of the 2nd conference on Theoretical aspects of reasoning about knowledge
Iterated belief revision, revised
Artificial Intelligence
Dynamic Epistemic Logic
Normative framework for normative system change
Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 1
Legal contractions: a logical analysis
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Law
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One goal of normative multi-agent system theory is to formulate principles for normative system change that maintain the rule-like structure of norms and preserve links between norms and individual agent obligations. A central question raised by this problem is whether there is a framework for norm change that is at once specific enough to capture this rule-like behavior of norms, yet general enough to support a full battery of norm and obligation change operators. In this paper we propose an answer to this question by developing a bimodal logic for norms and obligations called NO. A key to our approach is that norms are treated as propositional formulas, and we provide some independent reasons for adopting this stance. Then we define norm change operations for a wide class of modal systems, including the class of NO systems, by constructing a class of modal revision operators that satisfy all the AGM postulates for revision, and constructing a class of modal contraction operators that satisfy all the AGM postulates for contraction. More generally, our approach yields an easily extendable framework within which to work out principles for a theory of normative system change.