Probabilistic Logic in a Coherent Setting

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This book presents a novel approach to probability theory, defining probability as a linear operator grounded in coherence rather than traditional measure-theoretic frameworks. It offers a flexible tool for addressing partial probability assessments and conditional independence, circumventing inconsistencies linked to logical dependence. The methodology extends beyond conventional Bayesian networks, allowing for the integration of various uncertain reasoning approaches, including fuzziness and possibility functions, thus providing a comprehensive perspective on probability and uncertainty.