2012 Reprint of 1955 Edition. Exact facsimile of the original
edition, not reproduced with Optical Recognition Software. A
stochastic process is one in which the probabilities of a set of
events keep changing with time. Bush and Mosteller make use of the
mathematical techniques developed for the study of such processes
in building a theory of learning and then apply the theory to
explain the results of several learning experiments. Contents: Part
I: The mathematical system and the general model -- 1. The basic
model -- 2. Stimulus sampling and conditioning -- 3. Sequences of
events -- 4. Distributions of response probabilities -- 5. The
equal alpha condition -- 6. Approximate methods -- 7. Operators
with limits zero and unity -- 8. Commuting operators -- Part II:
Applications -- 9. Identification and estimation -- 10. Free-recall
verbal learning -- 11. Avoidance training -- 12. An experiment on
imitation -- 13. Symmetric choice problems -- 14. Runway
experiments -- 15. Evaluations.
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