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Author (up) Su, Y.; Myung, I.J.; GrÃRnwald, P.D.; Pitt, M.A. url  openurl
  Title Minimum Description Length and Cognitive Modeling Type Book Chapter
  Year 2005 Publication Advances in minimum description length theory and applications. Abbreviated Journal  
  Volume Issue Pages 411-433  
  Keywords minimum description length; retention models; cognitive modeling; Fisher information; Mdl; cognitive science; mathematical models; Mathematical Modeling  
  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)  
  Corporate Author Thesis  
  Publisher MIT Press Place of Publication Su, Yong, Department of Electrical Engineering, Ohio State University, 2015 Neil Avenue Mall, Columb Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference  
  Notes 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. Approved no  
  Call Number refbase @ user @ Su2005 Serial 4621  
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