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Artificial Intelligence and Law

, Volume 21, Issue 4, pp 399–423 | Cite as

Agile: a problem-based model of regulatory policy making

  • Alexander BoerEmail author
  • Tom van Engers
Article

Abstract

We understand regulatory policy problems against the backdrop of existing implementations of a regulatory framework. There are argument schemes for proposing a policy and for criticising a proposal, rooted in a shared understanding that there is an existing regulatory framework which is implemented in social structures in society, yet has problems. The problems with the existing implementations may be attributed either to those implementations or to the constraints imposed by the regulatory framework. In this paper we propose that calls for change of regulatory policy, and case-based and statistical evidence produced in support of policy proposals, are based in model-based problem solving activities. This perspective suggests schemes for a good argument pro or con a policy proposal, while avoiding the problem of backing up claims and evidence on the policy level with a conjectural deep model of the policy domain.

Keywords

Public administration Policy making Knowledge management Model-based diagnosis 

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Copyright information

© Springer Science+Business Media Dordrecht 2013

Authors and Affiliations

  1. 1.University of AmsterdamAmsterdamThe Netherlands

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