This study introduces the concept of conditional independence in valua
tion-based systems (VBS). VBS is an axiomatic framework capable of rep
resenting many different uncertainty calculi. We define conditional in
dependence in terms of factorization of the joint valuation. The defin
ition of conditional independence in VBS generalizes the corresponding
definition in probability theory. Besides probability theory, our def
inition applies also to Dempster-Shafer's belief-function theory, Spoh
n's epistemic-belief theory, and Zadeh's possibility theory. In fact,
it applies to any uncertainty calculi that fit in the VBS framework. W
e prove that our definition of conditional independence satisfies many
of the usual properties associated with it. In particular, it satisfi
es Pearl and Paz's graphoid axioms.