Proposer: Antoine Bagula
Brief Description: Building upon a previously proposed simulator, this project proposes the implementation of cognitive motions aiming at simulating rescue operations in emergency situations in an environment where mobile agents are moving to maximize coverage while staying connected. This can be applied to emergy situations to allow rescue staff reach specific targeted areas while staying in contact with the operation basis by building an ad-hoc wireless networks. A similar application consists of building an immigration game to be used in museums to reflect and reason about the origin of individuals and predict their future migrations.
Computer Science Content: Simulation modelling, Artificial Intelligence
Specific Learning Outcomes:
Skills Required by Team as a Whole:
Theory: Current and future situation recognition using Bayesian Belief Networks and neural networks, Simulation modelling and Evolutionary optimization
Facilities needed: Normal PCs, Laptops
Supervision: Regular meetings with the supervisor and participation in the ISAT seminars.
Number of Students: 2