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Voting in multi-agent system for improvement of partial observations

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

In this paper a system for monitoring a biotechnical system is presented. Some of the events associated with the state of metabolic reactions are indistinguishable, mainly due to lack of appropriate sensors and measurement capabilities. Therefore, a solution is needed to identify the state in which the reactor currently is, based on the information and measurements available in real time. The solution presented in this paper is based on a multi agent system, in which particular agents identify the state of the process based on selected measurements. Those partial identification results are than used to provide a cumulative result by means of a voting mechanism between all the particular agents. Such a solution seems to be a promising alternative to standard monitoring and identification methods.

Original languageEnglish
Title of host publicationAgent and Multi-Agent Systems
Subtitle of host publicationTechnologies and Applications - 5th KES International Conference, KES-AMSTA 2011, Proceedings
Pages353-362
Number of pages10
DOIs
Publication statusPublished - 2011
Event5th KES International Conference on Agent and Multi-Agent Systems: Technologies and Applications, KES-AMSTA 2011 - Manchester, United Kingdom
Duration: 29 Jun 20111 Jul 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6682 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference5th KES International Conference on Agent and Multi-Agent Systems: Technologies and Applications, KES-AMSTA 2011
Country/TerritoryUnited Kingdom
CityManchester
Period29/06/111/07/11

Keywords

  • Monitoring of Biotechnological Processes
  • Multi-Agent Systems
  • Voting

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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