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Titel:Knowledge structures
Titelzusatz:recent developments in theory and application
Mitwirkende:Heller, Jürgen [HerausgeberIn]   i
 Stefanutti, Luca [HerausgeberIn]   i
Verf.angabe:editors, Jürgen Heller, University of Tübingen, Germany, Luca Stefanutti, University of Padua, Italy
Verlagsort:New Jersey ; London ; Singapore ; Beijing ; Shanghai ; Hong Kong ; Taipei ; Chennai ; Tokyo
Verlag:World Scientific
E-Jahr:2024
Jahr:[2024]
Umfang:1 Online-Ressource (xvi, 345 Seiten)
Gesamttitel/Reihe:Advanced series on mathematical psychology ; vol. 7
Fussnoten:Includes bibliographical references and index
ISBN:978-981-12-8048-1
 978-981-12-8049-8
Abstract:"Founded in 1985 by Jean-Claude Falmagne and Jean-Paul Doignon, Knowledge Structure Theory (KST) constitutes a rigorous and current mathematical theory for the representation and the assessment of human knowledge. The seminal work of these authors initiated a highly active research strand with an ever-growing literature, mostly scattered across various technical journals. Starting from a concise but comprehensive introduction to the foundations of KST, this state-of-the-art review volume for the first time brings together the most important theoretical developments and extensions of the last decade and presents new areas of application beyond education, with contributions by key researchers in their respective fields. Among the important advances covered by this book are (1) a comprehensive treatment of probabilistic models in KST; (2) polytomous extensions of the theory; (3) KST-based psychological diagnostics and neuropsychological assessment; (4) the representation and assessment of cognitive skills in problem solving, as well as procedural skills. In addition, this book also includes an overview of available software for the application of KST"--
DOI:doi:10.1142/13519
URL:Resolving-System: https://doi.org/10.1142/13519
 Verlag: https://www.worldscientific.com/worldscibooks/10.1142/13519#t=toc
 DOI: https://doi.org/10.1142/13519
Schlagwörter:(s)Wissensrepräsentation   i / (s)Numerisches Modell   i
Datenträger:Online-Ressource
Sprache:eng
Bibliogr. Hinweis:Erscheint auch als : Druck-Ausgabe: Knowledge structures. - New Jersey : World Scientific, 2024. - xvi, 345 Seiten
K10plus-PPN:1900786370
 
 
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