Premium
A critique of Frederick Mosteller and Robert R. Bush's stochastic models for learning
Author(s) -
Rapoport Anatol
Publication year - 2007
Publication title -
behavioral science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.371
H-Index - 45
eISSN - 1099-1743
pISSN - 0005-7940
DOI - 10.1002/bs.3830010106
Subject(s) - set (abstract data type) , mathematical economics , computer science , process (computing) , artificial intelligence , epistemology , cognitive science , mathematics , philosophy , psychology , programming language , operating system
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. The reasoning behind their theory and its applications to one of the experiments are discussed here.