Generating Possible Interpretations of Compliance Regulation using Answer Set Programming

T. Kanai (Japan)


Compliance, Internal Control, Answer Set Programming


This paper proposes an answer set programming based method of generating possible interpretations of compliance regulations. By using answer set program ming, our method can generate all possible interpretations of the given regulation by using agent’s biased-beliefs. In addition, we show that our method can generate some inter esting interpretation by using the example of access control on privacy protected databases.

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