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Counterfactuals vs. conditional probabilities: A critical analysis of the counterfactual theory of information
2008
Australasian Journal of Philosophy
Cohen and Meskin [2006] recently offered a counterfactual theory of information to replace the standard probabilistic theory of information. They claim that the counterfactual theory fares better than the standard account on three grounds: first, it provides a better framework for explaining information flow properties; second, it requires a less expensive ontology; and third, because it does not refer to doxastic states of the information-receiving organism, it provides an objective basis. In
doi:10.1080/00048400701846541
fatcat:gxqrznthlbgvvkc6ecezlcbo4e