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http://eprints.org/relation/isVersionOf https://vuir.vu.edu.au/id/document/43 http://eprints.org/relation/isVolatileVersionOf https://vuir.vu.edu.au/id/document/43 http://eprints.org/relation/ismediumThumbnailVersionOf https://vuir.vu.edu.au/id/document/43 111954 2 2556806 document 111954 small.jpg image/png b8c8a9b24a58ab8c7f62930e21e5755a MD5 1699 2023-12-17 13:09:03 https://vuir.vu.edu.au/653/6/small.jpg 653 6 6 image/png other Thumbnails conversion from text to thumbnail_small en public

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http://eprints.org/relation/isVersionOf https://vuir.vu.edu.au/id/document/43 http://eprints.org/relation/isVolatileVersionOf https://vuir.vu.edu.au/id/document/43 http://eprints.org/relation/issmallThumbnailVersionOf https://vuir.vu.edu.au/id/document/43 archive 155 disk0/00/00/06/53 2007-05-26 2021-08-27 07:40:04 2008-09-18 04:05:58 conference_item show Zhang Hao Lan Leung Clement H. C Leung, Clement H. C Raikundalia Gitesh K pub tafeengineering 280000 Agent network topology, AOCD, intelligent agent, Matrix Performance analysis of agent network topologies helps multi-agent system developers to understand the impact of topology on system efficiency and effectiveness. Appropriate topology analysis enables the adoption of suitable frameworks for the specific multi-agent systems. In this paper, we propose a novel hybrid topology for distributed multi-agent systems, and compare the performance of this topology with two other common agent network topologies within the new multi-agent framework, Agent-based Open Connectivity for DSS (AOCD). Three major aspects are studied for estimating topology performance, which include (i) transmission time for a set of requests; (ii) waiting time for processing requests; and (iii) memory consumption for storing agent information. 2006-04 published http://doi.ieeecomputersociety.org/10.1109/AINA.2006.266 public paper 5 The 20th International Conference on Advanced Information Networking and Applications Vienna, Austria 18-20 April 2006 conference UNSPECIFIED TRUE Includes references. FALSE 4 2-s2.0-33751084885 2023-07-01 04:03:52