Abstract
A Normative Multi-Agent System consists of autonomous agents who must comply with social norms. Different kinds of norms make different assumptions about the cognitive architecture of the agents. For example, a principle-based norm assumes that agents can reflect upon the consequences of their actions; a rule-based formulation only assumes that agents can avoid violations. In this paper we present several cognitive agent architectures for self-monitoring and compliance. We show how different assumptions about the cognitive architecture lead to different information needs when assessing compliance. The approach is validated with a case study of horizontal monitoring, an approach to corporate tax auditing recently introduced by the Dutch Customs and Tax Authority.
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Burgemeestre, B., Hulstijn, J., Tan, YH. (2009). Agent Architectures for Compliance. In: Aldewereld, H., Dignum, V., Picard, G. (eds) Engineering Societies in the Agents World X. ESAW 2009. Lecture Notes in Computer Science(), vol 5881. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10203-5_7
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DOI: https://doi.org/10.1007/978-3-642-10203-5_7
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