Probabilistic Contexts for Reasoning

We present a view of a context hypothesization process performed using the probabilistic knowledge of a domain. We outline the underlying asumptions and requirements for a focussed construction of interesting hypothetical contexts for probabilistic reasoning. The formalism presented seeks to construct consistent, minimal, and desirable probabilistic contexts by selecting suitable domain attributes and probabilistic dependency relationships from the available domain knowledge. A suitability criterion made available to the context-building agent helps it in focusing towards the interesting contexts.