Prediction

What
- Probable Task Sequences (flow)
- Information needs within task steps (speculative retrieval)
  - semantic analysis
  - population level correlation
- Information values in hypotetical states (speculative computation)
How
- Statistical models as baseline
- rule-driven
- learning from observation (e.g. workflow details)
Control/Manage
- manage meta-data needed for prediction
- Integration between Learning and Described models
  - learning agents versus descriptive agents
  - declarative specification of workflow
  - deal with multiple hypotheses (models)
    - data level
    - intentional level - first class representation of hypothesis