Multi-agent Behaviour Segmentation via Spectral Clustering
File(s)
Accepted version
Author(s)
Takács, B
Butler, S
Demiris, Y
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.
Date Issued
2007-07
Citation
2007, pp.74-81
Publisher
AAAI
Start Page
74
End Page
81
Copyright Statement
© 2007 AAAI
Description
18.02.14 KB. OK to add accepted version to spiral, AAAI permits.
Identifier
http://www.aaai.org/Library/Workshops/ws07-09.php
Source
AAAI-2007 Workshop on Plan, Activity and Intention Recognition (PAIR)
Source Place
Vancouver, Canada
Publication Status
Published
Publisher URL
Start Date
2007-07-23
Finish Date
2007-07-23
Coverage Spatial
Vancouver, Canada