Relating Theory and Data

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advanced memory modeling techniques
Associative Information
Category=JM
Category=JMR
cognitive science research
Compound Cue Model
Confidence Judgments
distributed memory models
dual process theory
effect
episodic memory components
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False Alarm Rates
Fonnal Models
Global Memory Models
information
item
Item Information
Item Recognition
list
List Strength Effect
memory
Memory Vector
Pair Recognition
Phonological Loop
Phonological Store
position
recognition
recognition memory processes
Retention Interval
Retrieval Measure
Roc Curve
Roc Data
SAM Model
serial
Serial Order Information
Serial Position
short-term recall mechanisms
Single Item Recognition
strength
Strong Items
Study Pair
vector

Product details

  • ISBN 9780805807332
  • Weight: 771g
  • Dimensions: 152 x 229mm
  • Publication Date: 01 Oct 1991
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: US
  • Product Form: Paperback
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This festschrift represents the proceedings of a conference held in honor of Bennet B. Murdock, one of the foremost researchers and theoreticians on human memory and cognition. A highly renowned investigator respected for both his empirical and theoretical contributions to the field, Murdock summarized and focused a large amount of research activity with his 1974 book Human Memory: Theory and Data. This unique collection of articles addresses many of the issues discussed in his classic text. Divided into five principal sections, its coverage includes: theoretical perspectives on human memory ranging from a biological view to an exposition of the value of formal models; recent progress in the study of processes in immediate memory and recognition memory; and new developments in componential and distributed approaches to the modeling of human memory. Each section concludes with an integrative commentary provided by some of Murdock’s eminent colleagues from the University of Toronto. Thus, this book offers a diversity of perspectives on contemporary topics in the discipline, and will be of interest to students and scholars in all branches of cognitive science.

William E. Hockley, Stephan Lewandowsky