Agent architectures for compliance

B. Burgemeestre, J Hulstijn, Y Tan

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

1 Citation (Scopus)

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 <em>horizontal monitoring</em> , an approach to corporate tax auditing recently introduced by the Dutch Customs and Tax Authority.
Original languageEnglish
Title of host publicationProceedings of the 10th International Workshop on Engineering Societies in the Agents World X (ESAW 2009)
EditorsH. Aldewereld, V. Dignum, G. Picard
Place of PublicationHeidelberg
PublisherSpringer Verlag
Pages68-83
Number of pages16
ISBN (Print)9783642102028
Publication statusPublished - 2009
Externally publishedYes
Event10th International Workshop on Engineering Societies in the Agents World X - Utrecht, Netherlands
Duration: 18 Nov 200920 Dec 2009

Publication series

NameLecture Notes in Computer Science
Volume5881

Conference

Conference10th International Workshop on Engineering Societies in the Agents World X
Abbreviated titleESAW 2009
CountryNetherlands
CityUtrecht
Period18/11/0920/12/09

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  • Cite this

    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.