Advanced Search
CS Search Google Search
Subscribers, please login

Published Articles >> Table of Contents >> Abstract

IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT'04)   pp. 169-175
A Dynamically Formed Hierarchical Agent Organization for a Distributed Content Sharing System

Full Article Text: Download PDF of full textBuy this articleGet full text from IEEE Xplore

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/IAT.2004.1342940
Send link to a friend

Abstract
The organization and collaborative protocols of agent societies are becoming increasingly important with the growing size of agent networks. Particularly, in a multi-agent based content sharing system, a flat, peer-to-peer(P2P) agent organization is not the most efficient organization for locating relevant agents for queries. This paper develops and analyzes a hierarchical agent group formation protocol to build a hybrid organization for large-scale content sharing system as well as a content-aware distributed search algorithm to take advantage of such an organization. During the organization formation process, the agents manage their agent-view structures to form a hierarchical topology in an incremental fashion. The algorithm aims to place those agents with similar content in the same group. We evaluate the system performance based on TREC VLC 921 datasets. The results of the experiment demonstrate a significant increase in the cumulative recall ratio(CRR) measure compared to the flat agent organization and structure.
Additional Information

Citation:  Haizhong Zhang, Victor Lesser, "A Dynamically Formed Hierarchical Agent Organization for a Distributed Content Sharing System," iat, pp. 169-175,  IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT'04),  2004

Similar Articles

Abstract Contents
Abstract
Citation




Free access to

  • Abstracts
  • Selected PDFs

Electronic subscribers login to:

  • Access HTML/PDFs of full text articles

Subscription information

Get a Web account

PDFs require Adobe Acrobat Reader.

Peer Review Notice

Give us Feedback