Conference Paper

A Data Mining Approach to Identify Obligation Norms in Agent Societies.

DOI: 10.1007/978-3-642-15420-1_5 Conference: Agents and Data Mining Interaction, 6th International Workshop on Agents and Data Mining Interaction, ADMI 2010, Toronto, ON, Canada, May 11, 2010, Revised Selected Papers
Source: DBLP

ABSTRACT Most works on norms have investigated how norms are regulated using institutional mechanisms. Very few works have focused
on how an agent may infer the norms of a society without the norm being explicitly given to the agent. This paper describes
how an agent can make use of the proposed norm identification architecture to identify norms. This paper explains how an agent
using this architecture identifies one type of norm, an obligation norm. To this end, the paper proposes an Obligation Norm
Inference (ONI) algorithm which makes use of association rule mining approach to identify obligation norms.

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