Conditional Independence in Uncertainty Theories
نویسنده
چکیده
This paper introduces the nolions of independence and conditional independence in valuation-based systems (VBS). VBS is an axiomatic framework capable of representing many different uncertainty calculi. We define independence and conditional independence in terms of factorization of the joint valuation. The definitions of independence and conditional independence in VBS generalize the corresponding def’mitions in probability theory. Our definitions apply not only to probability theory, but also to Dempster-Shafer’s belief-function theory, Spohn’s epistemic-belief theory, and Zadeh’s possibility theory. In fact, they apply to any uncertainty calculi that fit in the framework of valuation-based systems.
منابع مشابه
Conditional lndependence in Uncertainty Theories
This paper introduces the notions of independence and conditional independence in valuation-based systems (VBS). VBS is an axiomatic framework capable of representing many different uncertainty calculi. We define independence and conditional independence in terms of factorization of the joint valuation. The definitions of independence and conditional independence in VBS generalize the correspon...
متن کاملGenerating 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 suf...
متن کاملConditional independence in valuation-based systems
This paper introduces the concept of conditional independence in valuation-based systems (VBS). VBS is an axiomatic framework capable of representing many different uncertainty calculi. We define conditional independence in terms of factorization of the joint valuation. The definition of conditional independence in VBS generalizes the corresponding definition in probability theory. Besides prob...
متن کاملSound approximate reasoning about saturated conditional probabilistic independence under controlled uncertainty
Knowledge about complex events is usually incomplete in practice. Zeros can be utilized to capture such events within probability models. In this article, Geiger and Pearl’s conditional probabilistic independence statements are investigated in the presence of zeros. Random variables can be specified to be zero-free, i.e., to disallow zeros in their domains. Zero-free random variables provide an...
متن کاملMAMBO: Discovering Association Rules Based on Conditional Independencies
We present the Mambo algorithm for the discovery of association rules. Mambo is driven by conditional independence relations between the variables instead of the minimum support restrictions of algorithms like Apriori. We argue that making use of conditional independencies is an intuitively appealing way to restrict the set of association rules considered. Since we only have a finite sample fro...
متن کامل