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Book synopsis

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.

Book details

Book category Books in English Mathematics & science Mathematics Applied mathematics

• Full title: Stochastic Models for Learning
• Author: Mosteller, Frederick (Harvard University Harvard Univ. Harvard Univ., MA Harvard Univ. Harvard Univ. Harvard Univ. Harvard Univ., MA Harvard Univ., MA
• Language: English
• Binding: Paperback
• Number of pages: 382
• EAN: 9781614273196
• ISBN: 9781614273196
• ID: 08800742
• Publisher: Martino Fine Books
• Weight: 558 g
• Dimensions: 229 × 152 × 22 mm
• Date of publishing: 01. July 2012

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