A Complex Systems Based Tool for Collective Robot Behavior Emergence and Analysis

  • Authors:
  • Abraham Prieto;Francisco Bellas;Pilar Caamaño;Richard J. Duro

  • Affiliations:
  • Integrated Group for Engineering Research, Universidade da Coruña, Spain;Integrated Group for Engineering Research, Universidade da Coruña, Spain;Integrated Group for Engineering Research, Universidade da Coruña, Spain;Integrated Group for Engineering Research, Universidade da Coruña, Spain

  • Venue:
  • HAIS '08 Proceedings of the 3rd international workshop on Hybrid Artificial Intelligence Systems
  • Year:
  • 2008

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Abstract

This paper presents a Complex Systems Theory based methodology and tool for the automatic design of multiagent or multirobot collective behaviors for the optimized execution of a given task. The main goal of this methodology is the representation of a generic task to be optimally performed in a Complex Systems simulator called WASPBED and the subsequent analysis of the emergent states thus obtained. This way, by tweaking environmental parameters in the system, the behaviors of the different collective behaviors obtained can be studied. The example used to test the methodology deals with collective behaviors for optimized routing in unknown environments.