Anna Dittmann, Lea Werner, Lena Hörz, Theresa Luft, Fiona Finkbeiner, Stefan Storcksdieck Genannt Bonsmann
Sociodemographic and behavioural differences between frequent and non-frequent users of convenience food in Germany
Frontiers in nutrition
despite recent advances modern machine learning algorithms opaqueness underlying mechanisms continues obstacle adoption instill confidence trust artificial intelligence ai systems explainable ai xai emerged response improve modern machine learning algorithms explainability inductive logic programming ilp subfield symbolic ai plays promising role generating interpretable explanations intuitive logicdriven framework ilp effectively leverages abductive reasoning generate explainable firstorder clausal theories examples background knowledge however several challenges developing methods inspired ilp need addressed successful application practice example existing ilp systems often vast solution space induced solutions sensitive noises disturbances survey paper summarizes recent advances ilp discussion statistical relational learning srl neuralsymbolic algorithms offer synergistic views ilp following critical review recent advances delineate observed challenges highlight potential avenues ilpmotivated research toward developing selfexplanatory ai systems