A new paper on segmentation algorithm for online intention recognition of mobile agents has been published in highly respected international journal Knowledge Based Systems. This work presents a segmentation algorithm for online intention recognition of mobile agents, aiming to identify and track changes in an agent’s underlying intentions from sequences of observed movements. The approach supports more effective interpretation of mobile-agent behaviour by segmenting movement trajectories into meaningful intention-related episodes.
Hashem, Tanzima, Matt Duckham, Yaguang Tao, Nenad Radosevic, and Timothy Miller. “A segmentation algorithm for online intention recognition of mobile agents.” Knowledge-Based Systems (2026): 115661. doi:10.1016/j.knosys.2026.115661