Adams Conditioning and Likelihood Ratio Transfer Mediated Inference

November 26, 2016 Β· Declared Dead Β· πŸ› Scientific Annals of Computer Science

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Authors Jan A. Bergstra arXiv ID 1611.09351 Category cs.AI: Artificial Intelligence Citations 9 Venue Scientific Annals of Computer Science Last Checked 4 months ago
Abstract
Bayesian inference as applied in a legal setting is about belief transfer and involves a plurality of agents and communication protocols. A forensic expert (FE) may communicate to a trier of fact (TOF) first its value of a certain likelihood ratio with respect to FE's belief state as represented by a probability function on FE's proposition space. Subsequently FE communicates its recently acquired confirmation that a certain evidence proposition is true. Then TOF performs likelihood ratio transfer mediated reasoning thereby revising their own belief state. The logical principles involved in likelihood transfer mediated reasoning are discussed in a setting where probabilistic arithmetic is done within a meadow, and with Adams conditioning placed in a central role.
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