A set of recent articles by Paul Haley again brings attention to this important question. Paul insists that “It’s time to trade rule technology dating back to the 80’s for state of the art AI” and points that “BRMS are incapable of the functionality people naturally expect (e.g., robust inference)“. James Taylor insists that “People don’t expect robust inference, experts do 🙂 DMN coordinates business rules/tabular decision logic, predictive analytics, AI… and it seems to be working for 100% of problems“. Jacob Feldman wrote about importance of the integration of decision management and semantic reasoning.
The current version of DMN does not require an execution engine to have inferential capabilities that allowed several BPM vendors to quickly add DMN implementations. More than that, DMN requires a user to build DRDs that Paul’s used to call “flow-charts” and wrote about them: “Visual programming may be a nice and useful capability, but the benefits of artificial intelligence technology hardly accrue from dressing up a procedural language!” These issues will be among hot discussion topics at the upcoming DecisionCAMP and RuleML+RR conference. We invite business rules and semantic web practitioners to provide their comments right here.