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Token causation by probabilistic active paths

Twardy, Charles R. and Korb, Kevin B. and Oppy, Graham and Handfield, Toby (2005) Token causation by probabilistic active paths. [Preprint]

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Abstract

We present a probabilistic extension to active path analyses of token causation (Halpern & Pearl 2001, forthcoming; Hitchcock 2001). The extension uses the generalized notion of intervention presented in (Korb et al. 2004): we allow an intervention to set any probability distribution over the intervention variables, not just a single value. The resulting account can handle a wide range of examples. We do not claim the account is complete --- only that it fills an obvious gap in previous active-path approaches. It still succumbs to recent counterexamples by Hiddleston (2005), because it does not explicitly consider causal processes. We claim three benefits: a detailed comparison of three active-path approaches, a probabilistic extension for each, and an algorithmic formulation.


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Item Type: Preprint
Creators:
CreatorsEmailORCID
Twardy, Charles R.
Korb, Kevin B.
Oppy, Graham
Handfield, Toby
Additional Information: Submitted to BJPS
Keywords: Causal models, token causality, probabilistic causation, Bayesian networks
Subjects: Specific Sciences > Probability/Statistics
Specific Sciences > Computer Science > Artificial Intelligence
General Issues > Causation
Depositing User: Dr. Charles R. Twardy
Date Deposited: 13 Jan 2005
Last Modified: 07 Oct 2010 15:13
Item ID: 2146
URI: http://philsci-archive.pitt.edu/id/eprint/2146

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