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We present a framework for Bayesian updating of beliefs about models of agent(s) based on their observed behavior. We work within the formalism of the Recursive Modeling Method (RMM) that maintains and processes models an agent may use to interact with other agent(s), the models the agent may think the other agent has of the original agent, the models the(More)
A one-dimensional electron transport algorithm based on the ideas of invariant imbedding has been developed and applied to the problem of electron backscattering in electron dosimetry. Results have been compared with experimental and Monte Carlo results. Agreement appears to be reasonable at low incident energies (0.5 to 10 MeV) and low Z(Z < or = 65)(More)
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