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Markov processes and learning models (Mathematics in Science and Engineering, Volume 84)
Markov processes and learning models (Mathematics in Science and Engineering, Volume 84)
Date: 14 April 2011, 12:47

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This monograph presents some developments in probability theory that were motivated by stochastic learning models, and describes in considerable detail the implications of these developments for the models that instigated them. No attempt is made to establish the psychological utility of these models, but ample references are provided for the reader who wishes to pursue this question. In doing so he will quickly become aware that the difficulty of deriving predictions from these models has prevented them from developing to their full potential, whatever that may be. Since I am more a probabilist than a psychologist, I am in a position to regard this difficulty as a challenge rather than a nuisance.

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