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Author  |
Su, Y.; Myung, I.J.; GrÃRnwald, P.D.; Pitt, M.A. |

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Title |
Minimum Description Length and Cognitive Modeling |
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Book Chapter |
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2005 |
Publication |
Advances in minimum description length theory and applications. |
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411-433 |
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minimum description length; retention models; cognitive modeling; Fisher information; Mdl; cognitive science; mathematical models; Mathematical Modeling |
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Abstract |
The question of how one should decide between competing explanations of data is at the heart of the scientific enterprise. In the field of cognitive science, mathematical models are increasingly being advanced as explanations of cognitive behavior. In the application of the minimum description length (MDL) principle to the selection of these models, one of the major obstacles is to calculate Fisher information. In this study we provide a general formula to calculate Fisher information for models of cognition that assume multinomial or normal distributions. We also illustrate the usage of the formula for models of categorization, information integration, retention, and psychophysics. Further, we compute and compare the complexity penalty terms of two recent versions of MDL (Rissanen 1996, 2001) for a multinomial model. Finally, the adequacy of MDL is demonstrated in the selection of retention models. (PsycINFO Database Record (c) 2007 APA, all rights reserved) (from the chapter) |
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MIT Press |
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Su, Yong, Department of Electrical Engineering, Ohio State University, 2015 Neil Avenue Mall, Columb |
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0-262-07262-9Accession Number: 2005-05733-016. First Author & Affiliation: Su, Yong; Department of Electrical Engineering, Ohio State University, Columbus, OH, US. Translated Book Series Title: Neural information processing series. Release Date: 20060814. Publication Type: Book (0200) Edited Book (0280). Media Covered: Print. Document Type: Chapter. ISBN: 0-262-07262-9, hardcover. Language: English. Conference Information: Neural Information Processing Systems (NIPS) conference. Conference Note: This book is based on a workshop organized at the aforementioned conference. Major Descriptor: Cognitive Science; Mathematical Modeling. Classification: Statistics & Mathematics (2240) . Intended Audience: Psychology: Professional & Research (PS). Grant Information: This research was supported by National Institutes of Health grant R01 MH57472. Supplemental Data: Web Sites [Internet Available]; . References Available: Y. |
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refbase @ user @ Su2005 |
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4621 |
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