Intelligent Systems Engineering

How would you design a system when you do not know what its context will look like tomorrow?

How should a system adapt to sudden, unexpected changes? Could a system design or evolve itself without human intervention? The design of complex systems has almost exclusively relied on human intuition, and today this approach has reached its limitations.

The complexity of large artificial systems is increasing beyond human ability to predict or control, in spite of the enormous amounts of data we can now gather experimentally. In short, the current mathematical methods employed in systems architectures are mainly used for formally capturing human insight. They are insufficient for anticipating emergent behaviours or complex failure modes — let alone for dealing with natural or economic systems or autonomy.

Case Studies