was working on computer-aided diagnosis and handling uncertainty in AI in the 1980s, when much of the discourse was framed in terms of a competition between approaches based on probability and statistics, those based on encapsulating expert ‘rules’ of judgement or those trying to emulate cognitive capacities through neural networks. The field has now matured, with a more pragmatic and ecumenical approach to its underlying philosophy, although the hype has not gone away.
