Measuring Complexity of Multi-agent Simulations --- An Attempt Using Metrics

  • Authors:
  • Franziska Klügl

  • Affiliations:
  • Department for Artificial Intelligence, University of Würzburg, Würzburg, 97074

  • Venue:
  • Languages, Methodologies and Development Tools for Multi-Agent Systems
  • Year:
  • 2008

Quantified Score

Hi-index 0.05

Visualization

Abstract

The variety of existing agent-based simulations is overwhelming. However --- especially when comparing agent-based simulation to other simulation paradigms, a reference frame is missing that allows characterizing shortly and discriminating between simulation models. In this contribution, I address this problem by introducing metrics for measuring properties of agent-based simulations for finally being able to characterize the complexities involved in developing such a model.