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Artificial Intelligence and Law

, Volume 16, Issue 1, pp 73–87 | Cite as

From human regulations to regulated software agents’ behavior

Connecting the abstract declarative norms with the concrete operational implementation. A position paper
  • Javier Vázquez-SalcedaEmail author
  • Huib Aldewereld
  • Davide Grossi
  • Frank Dignum
Original Paper

Abstract

In order to design and implement electronic institutions that incorporate norms governing the behavior of the participants of those institutions, some crucial steps should be taken. The first problem is that human norms are (on purpose) specified on an abstract level. This ensures applicability of the norms over long periods of time in many different circumstances. However, for an electronic institution to function according to those norms, they should be concrete enough to be able to check them run time. A second problem is that norms describe which behavior is desirable and permitted, but not how this is achieved in an institution. In the “real world" regulations often indicate procedures for implementing and enforcing the law. Likewise we should devise means to annotate the norms with practical aspects such as enforcement mechanisms, sanctions, etc. in order to get requirements for an institution that will enforce norms (by either constraining behavior within the norms or reacting to violation of the norms). The choice of which kind of mechanism is chosen is not a normative one, but usually based on criteria of efficiency and/or feasibility of the mechanism. In this paper we present our view on how to approach these problems and other related issues to be solved in order to develop e-institutions capable to operate in complex, highly regulated scenarios.

Keywords

Multi agent systems Electronic institutions Norms Norm enforcement 

Notes

Acknowledgements

The authors would like to acknowledge the close collaboration of Virginia Dignum, John-Jules Ch. Meyer, Andres García-Camino, Juan Antonio Rodríguez-Aguilar, Pablo Noriega and Carles Sierra in different stages of this work. Also our work includes ideas coming from valuable discussions with Ulises Cortés, Julian Padget and Owen Cliffe.

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Copyright information

© Springer Science+Business Media B.V. 2007

Authors and Affiliations

  • Javier Vázquez-Salceda
    • 1
    Email author
  • Huib Aldewereld
    • 2
  • Davide Grossi
    • 2
  • Frank Dignum
    • 2
  1. 1.Knowledge Engineering and Machine Learning GroupUniversitat Politècnica de CatalunyaBarcelonaSpain
  2. 2.Institute of Information and Computing SciencesUtrecht UniversityUtrechtThe Netherlands

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