Adaptive probabilistic task allocation in large-scale multi-agent systems and its evaluation

  • Authors:
  • Toshiharu Sugawara;Kensuke Fukuda;Toshio Hirotsu;Satoshi Kurihara

  • Affiliations:
  • Waseda University, Tokyo, Japan;National Institute of Informatics/JST, Tokyo, Japan;Hosei University, Tokyo, Japan;Osaka University, Osaka, Japan

  • Venue:
  • Proceedings of the 12th annual conference on Genetic and evolutionary computation
  • Year:
  • 2010

Quantified Score

Hi-index 0.00

Visualization

Abstract

In this paper, we introduce the probabilistic awardee selection strategy, under which awardee is selected with a fixed probability, into the award phase of contract net protocol. We then point out that, by changing the probabilities in this strategy according the local workload, the overall performance can be considerably improved.