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Toward a predictive model of the consumer inference process: The role of expertise
Author(s) -
Lee Dong Hwan,
Olshavsky Richard W.
Publication year - 1994
Publication title -
psychology and marketing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.035
H-Index - 116
eISSN - 1520-6793
pISSN - 0742-6046
DOI - 10.1002/mar.4220110203
Subject(s) - inference , cognition , process (computing) , artificial intelligence , psychology , cognitive science , computer science , machine learning , cognitive model , cognitive psychology , neuroscience , operating system
An information processing model is proposed for understanding and predicting cognitive behaviors underlying the generation of an inference. J. R. Anderson's theory of cognitive skill learning serves as the basis for the conceptual model. Specific predictions are generated concerning the impact of different levels of prior knowledge on the occurrence of inference and on the types of inference processes. An effort is made to demonstrate how the theory can be developed into a formal, predictive model in the form of a computer simulation model. Finally, some suggestions for future research directions are discussed. © 1994 John Wiley & Sons, Inc.