TY - CPAPER AB - 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. AU - Takács,B AU - Butler,S AU - Demiris,Y EP - 81 PB - AAAI PY - 2007/// SP - 74 TI - Multi-agent Behaviour Segmentation via Spectral Clustering UR - http://www.aaai.org/Library/Workshops/ws07-09.php UR - http://hdl.handle.net/10044/1/12774 ER -