From swarm macro-scale goal to agent micro-scale behavior
Evolutionary optimization methods are usually employed in connecting macro-scale goal with micro-scale behavior. This requires large computational resources. Exploring analytic approaches are very attractive as they often provide fast and reliable criteria for optimization.
The theme of this assignment is to research and discuss the possibility of analytically deriving agent behavior from collective goal formulations. In this assignment a survey of current literature and suggestions for classes of problems that can be handled analytically is expected. Furthermore, proposals for novel analytic approaches to this problem are of course welcome but not expected in fulfilment of project proposal. This is an assignment appropriate for theoretically oriented students.
FFI is researching swarm systems, both from a theoretical perspective and in terms of practical applications development (https://vimeo.com/170946568). Our goal is to operate and understand continuous swarm operation for area monitoring using multifunction RF, electrooptical and acoustic sensors onboard. In this cross disciplinary research we are interested in working with all kinds of talented students, ranging from sensor students to more theoretical students in artificial intelligence methods. In the following some themes for master projects are suggested. However, we are open to all aspects of swarm research. So, if you are interested in swarm you should talk to us and we will find a project that is in line with your research interests.