AbstractThe concept of conditional independence (CI) within the framework of natural conditional functions (NCFs) is studied. An NCF is a function asribing natural numbers to possible states of the world; it is the central concept of Spohn's theory of deterministic epistemology. Basic properties of CI within this framework are recalled, and further results analogous to the results concerning probabilistic CI are proved. Firstly, the intersection of two CI-models is shown to be a CI-model. Using this, it is proved that CI-models for NCFs have no finite complete axiomatic characterization (by means of a simple deductive system describing relationships among CI-statements). The last part is devoted to the marginal problem for NCFs. It is shown...
This paper introduces the concept of conditional independence in valuation-based systems (VBS). VBS ...
Probabilistic Conditional Independence Structures provides the mathematical description of probabili...
Abstract. Conditional independence provides an essential framework to deal with knowledge and uncert...
AbstractThe concept of conditional independence (CI) within the framework of natural conditional fun...
AbstractA natural conditional function (NCF) is a function from possible states of the world to natu...
In this paper, we study different concepts of conditional belief functions independence in the conte...
The main goal of this paper is to describe a new semantic for conditional independence in terms of n...
Abstract: As the paper explains, it is crucial to epistemology in general and to the theory of causa...
AbstractThe logical and algorithmic properties of stable conditional independence (CI) as an alterna...
Independence-the study of what is relevant to a given problem of reasoning-is an important AI topic....
AbstractThis study introduces the concept of conditional independence in valuation-based systems (VB...
The main goal of this paper is to describe a new semantic for conditional independence in terms of n...
The main goal of this paper is to describe a new semantic for conditional independence in terms of n...
AbstractIn the companion paper [Int. J. Approx. Reasoning 29 (1) (2002) 47], we have emphasized the ...
A definition of stochastic independence which avoids the inconsistencies (related to events of proba...
This paper introduces the concept of conditional independence in valuation-based systems (VBS). VBS ...
Probabilistic Conditional Independence Structures provides the mathematical description of probabili...
Abstract. Conditional independence provides an essential framework to deal with knowledge and uncert...
AbstractThe concept of conditional independence (CI) within the framework of natural conditional fun...
AbstractA natural conditional function (NCF) is a function from possible states of the world to natu...
In this paper, we study different concepts of conditional belief functions independence in the conte...
The main goal of this paper is to describe a new semantic for conditional independence in terms of n...
Abstract: As the paper explains, it is crucial to epistemology in general and to the theory of causa...
AbstractThe logical and algorithmic properties of stable conditional independence (CI) as an alterna...
Independence-the study of what is relevant to a given problem of reasoning-is an important AI topic....
AbstractThis study introduces the concept of conditional independence in valuation-based systems (VB...
The main goal of this paper is to describe a new semantic for conditional independence in terms of n...
The main goal of this paper is to describe a new semantic for conditional independence in terms of n...
AbstractIn the companion paper [Int. J. Approx. Reasoning 29 (1) (2002) 47], we have emphasized the ...
A definition of stochastic independence which avoids the inconsistencies (related to events of proba...
This paper introduces the concept of conditional independence in valuation-based systems (VBS). VBS ...
Probabilistic Conditional Independence Structures provides the mathematical description of probabili...
Abstract. Conditional independence provides an essential framework to deal with knowledge and uncert...