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Automatically creating Hierarchies of Agents and Meta-agents using Clustering
KTH, School of Information and Communication Technology (ICT), Communication: Services and Infrastucture, Software and Computer Systems, SCS.ORCID iD: 0000-0002-9255-9236
2010 (English)In: Agent and Multi-agent Technology for Internet and Enterprise Systems / [ed] Hakansson, Anne; Hartung, Ronald; Nguyen, Ngoc-Thanh, Berlin/Heidelberg: Springer Berlin/Heidelberg, 2010, 207-228 p.Chapter in book (Refereed)
Abstract [en]

This chapter describes an approach to automatically create hierarchies of intelligent agents and meta-agents in networks. The hierarchy contains intelligent agents at the bottom level, constituting leafs, and abstract meta-agents at the top levels. The commonality between the agents in the hierarchy is that higher-level agents comprise lower level agents with more distinct semantics, which together constitute information chains for solutions. The test environment is the web since it produces of vast amount of information that needs structuring in order to be manageable and accessible. The results of the search infrastructure are automatically cast into a more manageable and understandable hierarchy by using a clustering method.

Place, publisher, year, edition, pages
Berlin/Heidelberg: Springer Berlin/Heidelberg, 2010. 207-228 p.
, Studies in Computational Intelligence, ISSN 1860949X ; 289
National Category
Engineering and Technology
URN: urn:nbn:se:kth:diva-89809DOI: 10.1007/978-3-642-13526-2_10ScopusID: 2-s2.0-77956324381ISBN: 978-364213525-5OAI: diva2:503651
QC 20120312Available from: 2012-02-16 Created: 2012-02-16 Last updated: 2012-03-12Bibliographically approved

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ReferencesLink to record
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