Abstract
A method for forcing norms onto individual agents in a multi-agent system is presented. The agents under study are supersoft agents: autonomous artificial agents programmed to represent and evaluate vague and imprecise information. Agents are further assumed to act in accordance with advice obtained from a normative decision module, with which they can communicate. Norms act as global constraints on the evaluations performed in the decision module and hence no action that violates a norm will be suggested to any agent. Further constraints on action may then be added locally. The method strives to characterise real-time decision making in agents, in the presence of risk and uncertainty.
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Boman, M. Norms in artificial decision making. Artificial Intelligence and Law 7, 17–35 (1999). https://doi.org/10.1023/A:1008311429414
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DOI: https://doi.org/10.1023/A:1008311429414