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Modeling the Interpretation of Sources of Norms

Authors:
Tom. M. van Engers
Robert van Doesburg

Keywords: AI and Law; knowledge acquisition; knowledge representation; formal representation of norms; legal analysis; legal engineering; rule governance

Abstract:
In this paper, the authors present their work on the development of a formal method for the interpretation of norms. This research is a continuation of the work reported in the eKNOW 2015 conference where we focused on a formal method to relate a set of norms described in natural language to the specification of a service based on these norms. In this paper, we focus on the modeling of the explicit interpretation of norms. These interpretation models are aimed to become components in our agent-role based simulations that allow to reason about the effect of norms in social reality. The method has been tested in a governmental organization for the specification of digital services. The method preserves the original concepts in sources of norms described in natural language, and delivers a translation of these norms to formal computational models. These models can be used to support institutional reasoning, i.e., reasoning about institutional facts and normative positions.

Pages: 41 to 50

Copyright: Copyright (c) IARIA, 2016

Publication date: April 24, 2016

Published in: conference

ISSN: 2308-4375

ISBN: 978-1-61208-472-5

Location: Venice, Italy

Dates: from April 24, 2016 to April 28, 2016