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 |
|---|---|
| Pages (from-to) | 137-154 |
| Number of pages | 18 |
| Journal | Journal of Applied Logic |
| Volume | 7 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - 1 Jun 2009 |
| Externally published | Yes |
Funding
The work has received partial support from CNPq (grant 3000183/98-4) and FAPESP (grant 04/09568-0). The third author is supported by CAPES.
Keywords
- Graph-theoretic models
- Linear and multilinear programming
- Probabilistic logic
- Stochastic independence
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