Philosophical Foundations for Probabilistic Inference and Probabilistic Prediction

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This exciting and innovative project aims to lay new foundations for contemporary philosophy of science. We shall use basic Minimum Message Length (MML) principles to vastly improve on current philosophical accounts of scientific inference and scientific prediction. We shall also use the theory to develop new and exciting answers to longstanding problems in philosophy of science concerning induction, projectability, private languages, determinism and intelligence. A theory based on MML principles will demonstrate the clear inadequacies of competing classical approaches, and will completely reshape the way in which philosophers think about Bayesian theories of inference.