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Causal reasoning from almost first principles

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
Creators:
CreatorsEmailORCID
Bochman, Alexanderbochmana@hit.ac.il
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
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
Date: 23 November 2023
URI: https://philsci-archive-dev.library.pitt.edu/id/eprint/22796

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