Artificial intelligence systems are increasingly being asked to make decisions from evidence that is incomplete, ambiguous or contradictory. A new mathematical framework aims to improve how such systems combine that evidence by treating information fusion as an optimization problem rather than simply applying a conventional averaging rule. The approach, developed