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 <em>horizontal monitoring</em> , an approach to corporate tax auditing recently introduced by the Dutch Customs and Tax Authority.
|Title of host publication||Proceedings of the 10th International Workshop on Engineering Societies in the Agents World X (ESAW 2009)|
|Editors||H. Aldewereld, V. Dignum, G. Picard|
|Place of Publication||Heidelberg|
|Number of pages||16|
|Publication status||Published - 2009|
|Event||10th International Workshop on Engineering Societies in the Agents World X - Utrecht, Netherlands|
Duration: 18 Nov 2009 → 20 Dec 2009
|Name||Lecture Notes in Computer Science|
|Conference||10th International Workshop on Engineering Societies in the Agents World X|
|Abbreviated title||ESAW 2009|
|Period||18/11/09 → 20/12/09|
Burgemeestre, B., Hulstijn, J., & Tan, Y. (2009). Agent architectures for compliance. In H. Aldewereld, V. Dignum, & G. Picard (Eds.), Proceedings of the 10th International Workshop on Engineering Societies in the Agents World X (ESAW 2009) (pp. 68-83). (Lecture Notes in Computer Science; Vol. 5881). Springer Verlag.