Abstract
We examine the representation of judgements of stochastic independence in probabilistic logics. We focus on a relational logic where (i) judgements of stochastic independence are encoded by directed acyclic graphs, and (ii) probabilistic assessments are flexible in the sense that they are not required to specify a single probability measure. We discuss issues of knowledge representation and inference that arise from our particular combination of graphs, stochastic independence, logical formulas and probabilistic assessments.
Original language | English |
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Pages (from-to) | 137-154 |
Number of pages | 18 |
Journal | Journal of Applied Logic |
Volume | 7 |
Issue number | 2 |
DOIs | |
Publication status | Published - 2009 |
Keywords
- Linear and multilinear programming