Handling emergent resource use oscillations

  • Authors:
  • Mark Klein;Richard Metzler;Yaneer Bar-Yam

  • Affiliations:
  • Massachusetts Institute of Technology;New England Complex Systems Institute;New England Complex Systems Institute

  • Venue:
  • PRIMA'04 Proceedings of the 7th Pacific Rim international conference on Intelligent Agents and Multi-Agent Systems
  • Year:
  • 2004

Quantified Score

Hi-index 0.00

Visualization

Abstract

Business and engineering systems are increasingly being created as collections of many autonomous (human or software) agents cooperating as peers. Peer-to-peer coordination introduces, however, unique and potentially serious challenges. When there is no one ‘in charge’, dysfunctions can emerge as the collective effect of locally reasonable decisions. In this paper, we consider the dysfunction wherein inefficient resource use oscillations occur due to delayed status information, and describe novel approaches, based on the selective use of misinformation, for dealing with this problem.