Multi-agent Behaviour Segmentation via Spectral Clustering

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Title: Multi-agent Behaviour Segmentation via Spectral Clustering
Authors: Takács, B
Butler, S
Demiris, Y
Item Type: Conference Paper
Abstract: We examine the application of spectral clustering for breaking up the behaviour of a multi-agent system in space and time into smaller, independent elements. We extend the clustering into the temporal domain and propose a novel similarity measure, which is shown to possess desirable temporal properties when clustering multi-agent behaviour. We also propose a technique to add knowledge about events of multi-agent interaction with different importance. We apply spectral clustering with this measure for analysing behaviour in a strategic game.
Issue Date: 31-Jul-2007
URI: http://hdl.handle.net/10044/1/12774
Publisher: AAAI
Start Page: 74
End Page: 81
Copyright Statement: © 2007 AAAI
Conference Name: AAAI-2007 Workshop on Plan, Activity and Intention Recognition (PAIR)
Conference Location: Vancouver, Canada
Publication Status: Published
Publisher URL: http://www.aaai.org/Library/Workshops/ws07-09.php
Start Date: 2007-07-23
Finish Date: 2007-07-23
Conference Place: Vancouver, Canada
Appears in Collections:Electrical and Electronic Engineering



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