Two approaches to logic programming with probabilities emerged over time: bayesian reasoning and probabilistic satisfiability (PSAT). The attractiveness of the former is in tying ...
We introduce a logic for reasoning about evidence that essentially views evidence as a function from prior beliefs (before making an observation) to posterior beliefs (after makin...
tween documents. They should allow for an abstract representation of data which resembles the way they are actually perceived and used in the real world, thus shortening (with resp...
Abstract: This paper describes the application of CLP (constraint logic programming) to several digital circuit design problems. It is shown that logic programming together with ef...