Agent Architectures for Compliance

  • Authors:
  • Brigitte Burgemeestre;Joris Hulstijn;Yao-Hua Tan

  • Affiliations:
  • Faculty of Economics and Business Administration, Vrije Universiteit, Amsterdam;Faculty of Economics and Business Administration, Vrije Universiteit, Amsterdam;Faculty of Economics and Business Administration, Vrije Universiteit, Amsterdam and Department of Technology, Policy and Management, Delft University of Technology,

  • Venue:
  • ESAW '09 Proceedings of the 10th International Workshop on Engineering Societies in the Agents World X
  • Year:
  • 2009

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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.