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Ontology-guided learning to improve communication between groups of agents

Published: 08 May 2006 Publication History

Abstract

We present a general method for agents using ontologies as part of their knowledge representation to teach each other concepts to improve their communication and thus cooperation abilities. Our method aims at getting positive and negative examples for a concept only very vaguely understood by a particular agent from the other agents. This agent then uses one of the known concept learning methods to learn the concept in question, involving the other agents again by taking votes in case of conflicts in the received knowledge. This method allows agents that are not sharing common ontologies to establish common grounds on concepts known only to some of them, if these common grounds are needed during cooperation. While the concepts learned by an agent are only compromises between the views of the other agents, the method nevertheless enhances the autonomy of agents using it substantially.

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Cited By

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  • (2018)LifeBrush: Painting Interactive Agent-Based Simulations2018 International Conference on Cyberworlds (CW)10.1109/CW.2018.00017(17-24)Online publication date: Oct-2018
  • (2016)A Frame Work for XML Ontology to STEP-PDM from Express Entities: A String Matching ApproachAnnals of Data Science10.1007/s40745-016-0092-x3:4(469-507)Online publication date: 17-Oct-2016
  • (2015)On the emergence of semantic agreement among rational agentsWeb Intelligence10.3233/WEB-15032713:4(295-312)Online publication date: 23-Nov-2015
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      cover image ACM Conferences
      AAMAS '06: Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
      May 2006
      1631 pages
      ISBN:1595933034
      DOI:10.1145/1160633
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      Published: 08 May 2006

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      Author Tags

      1. concept learning
      2. multi-agent communication
      3. ontology

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      View all
      • (2018)LifeBrush: Painting Interactive Agent-Based Simulations2018 International Conference on Cyberworlds (CW)10.1109/CW.2018.00017(17-24)Online publication date: Oct-2018
      • (2016)A Frame Work for XML Ontology to STEP-PDM from Express Entities: A String Matching ApproachAnnals of Data Science10.1007/s40745-016-0092-x3:4(469-507)Online publication date: 17-Oct-2016
      • (2015)On the emergence of semantic agreement among rational agentsWeb Intelligence10.3233/WEB-15032713:4(295-312)Online publication date: 23-Nov-2015
      • (2013)Concept learning gamesInformation Systems Frontiers10.1007/s10796-012-9343-315:4(653-676)Online publication date: 1-Sep-2013
      • (2013)Common understanding in a multi-agent system using ontology-guided learningKnowledge and Information Systems10.1007/s10115-012-0524-736:1(83-120)Online publication date: 1-Jul-2013
      • (2012)Join Me with the Weakest Partner, PleaseProceedings of the The 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology - Volume 0210.1109/WI-IAT.2012.155(17-24)Online publication date: 4-Dec-2012
      • (2011)Improving agent interoperability via the automatic enrichment of multi-category ontologiesWeb Intelligence and Agent Systems10.5555/2019516.20195179:4(291-318)Online publication date: 1-Dec-2011
      • (2011)Context-Sensitive Ontology Matching in Electronic BusinessElectronic Business Interoperability10.4018/978-1-60960-485-1.ch012(279-301)Online publication date: 2011
      • (2010)Forgetting fragments from evolving ontologiesProceedings of the 9th international semantic web conference on The semantic web - Volume Part I10.5555/1940281.1940319(582-597)Online publication date: 7-Nov-2010
      • (2010)Collaborative Learning of Ontology Fragments by Co-operating AgentsProceedings of the 2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 0210.1109/WI-IAT.2010.90(89-96)Online publication date: 31-Aug-2010
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