Drools – Uncertainty Systems

Davide Sottara has been working on the foundations for a Drools partial data reasoning, for his Phd, with Uncertainty Systems to express truth degrees. He’s made a small screenshot for us along with the proposed syntax. The idea is that different uncertainty systems can be configured to handle different evaluators for a given object type and field name – making it seamless to the rule language, beyond the notation shown.

  • Traditional Pattern
    • Shower( temperature == “hot” )
  • Pattern with uncertainty evaluator
    • Shower( temperature == ~“hot” )
  • Pattern with uncertainty evaluator and parameters
    • Shower( temperature == ~(10, $x, 15, $y) “hot” )

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