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How to Revise Beliefs from Conditionals: A New Proposal
- Source :
- Proceedings of the Annual Meeting of the Cognitive Science Society; vol 43, iss 43
- Publication Year :
- 2021
-
Abstract
- A large body of work has demonstrated the utility of the Bayesian framework for capturing inference in both specialist and everyday contexts. However, the central tool of the framework, conditionalization via Bayes’ rule, does not apply directly to a common type of learning: the acquisition of conditional information. How should an agent change her beliefs on learning that “If A, then C”? This issue, which is central to both reasoning and argumentation, has recently prompted considerable research interest. In this paper, we critique a prominent proposal and provide a new, alternative, answer.
Details
- Database :
- OAIster
- Journal :
- Proceedings of the Annual Meeting of the Cognitive Science Society; vol 43, iss 43
- Notes :
- Hartmann, Stephan, Hahn, Ulrike
- Publication Type :
- Electronic Resource
- Accession number :
- edsoai.on1367508863
- Document Type :
- Electronic Resource