Generating graphoids from generalised conditional probability

We take a general approach to uncertainty on product spaces, and give sufficient conditions for the independence structures of uncertainty measures to satisfy graphoid properties. Since these conditions are arguably more intuitive than some of the graphoid properties, they can be viewed as explanations why probability and certain other formalisms generate graphoids. The conditions include a sufficient condition for the Intersection property which can still apply even if there is a strong logical relationship between the variables. We indicate how these results can be used to produce theories of qualitative conditional probability wShich are semigraphoids and graphoids