Generalized Models of Sequential Decision-Making under Uncertainty

Sequential decision-making under uncertainty is an important branch of artificial intelligence research with a plethora of real-life applications. In this thesis, we generalize two fundamental properties of the decision-making process. First, we show that the theory on planning methods for finite spaces can be extended to infinite but countable...

Controlling enigneering-to-order processes in shipbuilding, a model-based approach

Engineering-to-Order processes in shipbuilding are characterised by their results: unique ships built on customer specification. A challenge is the control of such processes: the combination of complex technical solutions, a large quantity of specialist engineers of different parties, highly interrelated âconcurrentâ tasks, continuous exchange...