Evidence, Decision And Causality by Arif Ahmed
A systematic philosophical treatment of how evidence, probability, and causal relations should inform rational belief and choice, arguing for a unified probabilistic framework that links confirmation theory and decision theory; it examines how evidence ought to update credences, how causal knowledge interacts with evidential considerations in guiding action, and how formal tools from probability theory can illuminate debates about explanation, confirmation, and rational choice under uncertainty, while critiquing rival approaches and illustrating implications for scientific and everyday reasoning.
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- English
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