Bochman, Alexander (2023) Causal reasoning from almost first principles. [Preprint]
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Abstract
A formal theory of causal reasoning is presented that encompasses both Pearl's approach to causality and several key formalisms of nonmonotonic reasoning in Artificial Intelligence. This theory will be derived from a single rationality principle of causal acceptance for propositions. However, this principle will also set the theory of causal reasoning apart from common representational approaches to reasoning formalisms.
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| Item Type: | Preprint | ||||||
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| Additional Information: | To appear in Synthese journal | ||||||
| Keywords: | Causation, Inference, Semantics, Defaults | ||||||
| Subjects: | General Issues > Causation Specific Sciences > Artificial Intelligence General Issues > Realism/Anti-realism |
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| Depositing User: | Prof. Alexander Bochman | ||||||
| Date Deposited: | 25 Nov 2023 16:18 | ||||||
| Last Modified: | 25 Nov 2023 16:18 | ||||||
| Item ID: | 22796 | ||||||
| Subjects: | General Issues > Causation Specific Sciences > Artificial Intelligence General Issues > Realism/Anti-realism |
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| Date: | 23 November 2023 | ||||||
| URI: | https://philsci-archive.pitt.edu/id/eprint/22796 |
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