Our project tackles a major current problem in Philosophy: providing better theories of probabilistic causation, including ways to measure influence, make comparisons to appropriate norms, and identify underlying physical processes. Our methodology is cutting-edge: we combine traditional logical analysis, empirical surveys of causal judgements, and causal Bayesian nets. These nets are being used as scientific models of causal systems in many areas, such as public health and environmental management. Our theories are vital to properly interpreting these models and will improve AI applications such as automatic explanation generators. This will enhance Australia's academic reputation and bring practical benefits to science and industry.
|Effective start/end date||3/01/12 → 31/12/14|
- Australian Research Council (ARC): AUD286,748.00
- Australian Research Council (ARC): AUD23,252.00
- Australian Research Council (ARC)
- Monash University