Skip to main content

Recognition and Generation of Suspicious Behaviour

Primary supervisor

Mor Vered

Goal recognition is defined as the problem of determining an agent’s intent from observations of its behaviour. Current research in goal recognition has focused on observing agents that are trying to achieve their goals in a rational manner. Other research has focused on observing agents that are deliberately trying to trick an observer into believing they are pursuing alternative goals to the ones they are actually pursuing. However there is also a need to recognise when a behaviour is suspicious, regardless of the goal that is being tried to be achieved. This project focuses on the generation of suspicious behaviours according to novel models.

Student cohort

Single Semester
Double Semester

Required knowledge

Experience with Python, C++, planning and optimisation.