About this role
Location: Streatham Campus About the Project Project details Self-adaptive and autonomous systems are increasingly deployed in dynamic and uncertain environments, where effective decision-making relies on accurate models of how the system interacts with its environment. Traditionally, such world models—comprising transition and observation models—are specified by domain experts, based on their knowledge and assumptions about the system and its operational context. However, as environmental conditions evolve, these assumptions may no longer hold, leading to inaccurate predictions of adaptation impacts and suboptimal decision-making. Examples include crowd management and large-scale communication networks based on cellular or wireless sensors. For instance, during mass gatherings such as the sport matches (e.g., Superbowl) or large music festivals, assumptions of steady cellular network demand often fail. Sudden surges in GSM/5G traffic, stampede risks, or emergency events introduce u...