|Title||Managing Conflict Resolution in Norm-Regulated Environments|
|Publication Type||Conference Paper|
|Year of Publication||2007|
|Authors||Kollingbaum MJ, Vasconcelos WW, García-Camino A, Norman T|
|Conference Name||Lecture Notes in Artificial Intelligence|
Norms are the obligations, permissions and prohibitions as- sociated with members of a society. Norms provide a useful abstraction with which to specify and regulate the behaviour of self-interested soft- ware agents in open, heterogeneous systems. Any realistic account of norms must address their dynamic nature: the norms associated with agents will change as agents act (and interact) – prohibitions can be lifted, obligations can be fulfilled, and permissions can be revoked as a result of agents’ actions. These norms may at times conflict with one an- other, that is, an action may be simultaneously prohibited and obliged (or prohibited and permitted). Such conflicts cause norm-compliant agents to experience a paralysis: whatever they do (or not do) will go against a norm. In this paper we present mechanisms to detect and resolve normative conflicts. We achieve more expressiveness, precision and re- alism in our norms by using constraints over first-order variables. The mechanisms to detect and resolve norm conflicts take into account such constraints and are based on first-order unification and constraint sat- isfaction. We also explain how the mechanisms can be deployed in the management of norms regulating environments for software agents.
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