Dear colleagues,

Please note for some complex problems where you have several interacting sectors/priorities, when the situation is dynamical and it requires not a static optimization solution but an adaptive solution and when you get non-predictable collective behaviour emerging from the interactions of the system components, weak AI is not suitable, so I would advocate for a wider definition of AI algorithms that would cope with these kind of problems.

Some time ago I gathered a group of experts in complexity science and cities that produced a position paper on why we should use complexity science and in which cases for modelling cities. I include here the link to a post on a seminar that one of these experts gave us with the link to the paper and the video. Please have a look if you are interested.

Should We Build The Matrix? Some Challenges of the Digital Twin - Seminar presenting the Position paper on the use of Complexity Science for Local Digital Twins | Shaping Europe’s digital future (europa.eu)

Thanks

Pepe