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A performance evaluation of three multiagent platforms

Research output: Contribution to journalJournal article

Published

  • Juan M. Alberola
  • Jose M. Such
  • Ana Garcia-Fornes
  • Agustin Espinosa
  • Vicent Botti
Journal publication date08/2010
JournalArtificial Intelligence Review
Journal number2
Volume34
Number of pages32
Pages145-176
Original languageEnglish

Abstract

In the last few years, many researchers have focused on testing the performance of Multiagent Platforms. Results obtained show a lack of performance and scalability on current Multiagent Platforms, but the existing research does not tackle poor efficiency causes. This article is aimed not only at testing the performance of Multiagent Platforms but also the discovery of Multiagent Platform design decisions that can lead to these deficiencies. Therefore, we are able to understand to what extent the internal design of a Multiagent Platform affects its performance. The experiments performed are focused on the features involved in agent communication.