Arrow Research search
Back to AAMAS

AAMAS 2010

Graphically Explaining Norms

Conference Paper Red Session Autonomous Agents and Multiagent Systems

Abstract

While much work has focused on the creation of norm aware agents, much less has been concerned with aiding a system's designers inunderstanding the effects of norms on a system. However, sincenorms are generally pre-determined by designers, providing suchsupport can be critical in enabling norm refinement for more effective or efficient system regulation. In this paper, we address just thisproblem by providing explanations as to why some norm is applicable, violated, or in some other state. We make use of conceptualgraph based semantics to provide an easily interpretable graphicalrepresentation of the norms within a system. Such a representationallows for visual explanation of the state of norms, showing forexample why they may have been activated or violated. These explanations then enables easy understanding of the system operationwithout needing to follow the system's underlying logic.

Authors

Keywords

  • Norms
  • Conceptual Graphs

Context

Venue
International Conference on Autonomous Agents and Multiagent Systems
Archive span
2002-2025
Indexed papers
7403
Paper id
1091754030017738584