Subjective logic generalises probabilistic logic by including degrees of epistemic uncertainty in the input arguments, i.e. instead of probabilities, the analyst can express arguments as subjective opinions. Abduction in subjective logic is thus a generalization of probabilistic abduction described above. The input arguments in subjective logic are subjective opinions which can be binomial when the opinion applies to a binary variable or multinomial when it applies to an "n"-ary variable. A subjective opinion thus applies to a state variable formula_58 which takes its values from a domain formula_59 (i.e. a state space of exhaustive and mutually disjoint state values formula_60), and is denoted by the tuple formula_61, where formula_62 is the belief mass distribution over formula_59, formula_64 is the epistemic uncertainty mass, and formula_65 is the base rate distribution over formula_59. These parameters satisfy formula_67 and formula_68 as well as formula_69.