Pathfinder Associative Networks

Pathfinder Associative Networks
Author: Roger W. Schvaneveldt
Publisher: Intellect (UK)
Total Pages: 336
Release: 1990
Genre: Computers
ISBN:

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This volume is a presentation of the theory and application of Pathfinder networks. These networks are derived from proximity data, and they have various applications in cognitive modelling, user-computer interface design, and knowledge engineering.

Pathfinder Associative Networks

Pathfinder Associative Networks
Author: Roger W. Schvaneveldt
Publisher:
Total Pages: 315
Release: 1990
Genre: Expert systems (Computer science)
ISBN: 9780685312841

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Visualization for Information Retrieval

Visualization for Information Retrieval
Author: Jin Zhang
Publisher: Springer Science & Business Media
Total Pages: 300
Release: 2007-11-24
Genre: Computers
ISBN: 3540751483

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Information visualization offers a way to reveal hidden patterns in a visual presentation and allows users to seek information from a visual perspective. Readers of this book will gain an in-depth understanding of the current state of information retrieval visualization. They will be introduced to existing problems along with technical and theoretical findings. The book also provides practical details for the implementation of an information retrieval visualization system.

Cognitively Diagnostic Assessment

Cognitively Diagnostic Assessment
Author: Paul D. Nichols
Publisher: Routledge
Total Pages: 469
Release: 2012-12-06
Genre: Education
ISBN: 1136483799

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During the past two or three decades, research in cognitive science and psychology has yielded an improved understanding of the fundamental psychological nature of knowledge and cognitive skills that psychological testing attempts to measure. These theories have reached sufficient maturity, making it reasonable to look upon them to provide a sound theoretical foundation for assessment, particulary for the content of assessments. This fact, combined with much discontentedness over current testing practices, has inspired efforts to bring testing and cognitive theory together to create a new theoretical framework for psychological testing -- a framework developed for diagnosing learners' differences rather than for ranking learners based on their differences. This volume presents some initial accomplishments in the effort to bring testing and cognitive theory together. Contributors originate from both of the relevant research communities -- cognitive research and psychometric theory. Some represent collaborations between representatives of the two communities; others are efforts to reach out in the direction of the other community. Taking fundamentally different forms, psychometric test theory assumes that knowledge can be represented in terms of one or at most a few dimensions, whereas modern cognitive theory typically represents knowledge in networks -- either networks of conceptual relationships or the transition networks of production systems. Cognitively diagnostic assessment is a new enterprise and it is evident that many challenging problems remain to be addressed. Still, it is already possible to develop highly productive interactions between assessment and instruction in both automated tutoring systems and more conventional classrooms. The editors hope that the chapters presented here show how the reform of assessment can take a rigorous path.

Structural Knowledge

Structural Knowledge
Author: David H. Jonassen
Publisher: Routledge
Total Pages: 278
Release: 2013-05-13
Genre: Education
ISBN: 1136474412

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This book introduces the concept of a hypothetical type of knowledge construction -- referred to as structural knowledge -- that goes beyond traditional forms of information recall to provide the bases for knowledge application. Assuming that the validity of the concept is accepted, the volume functions as a handbook for supporting the assessment and use of structural knowledge in learning and instructional settings. It's descriptions are direct and short, and its structure is consistent. Almost all of the chapters describe a technique for representing and assessing structural knowledge acquisition, conveying knowledge structures through direct instruction, or providing learners with strategies that they may use to acquire structural knowledge. These chapters include the following sections in the same sequence: * description of the technique and its theoretical or conceptual rationale * examples and applications * procedures for development and use * effectiveness -- learner interactions and differences, and advantages and disadvantages * references to the literature. The chapters are structured to facilitate access to information as well as to illuminate comparisons and contrasts among the techniques.

Color and Brand Personality Traits

Color and Brand Personality Traits
Author: Maya Toteva
Publisher:
Total Pages: 80
Release: 2017
Genre: Advertising
ISBN:

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Color as a communication medium plays an important role in conveying meaning. It has been identified as a major element in marketing and advertising, and has shown to influence consumer's emotions (Labrecque & Milne, 2012). Despite the large volume of color-centered research, the literature on the subject remains largely abstract and unreliable. Academic research on the impact of color on brand personality it is still in its early stages of investigation, and therefore fragmented and inadequate. The goal of this study is to identify and visually represent patterns of association between colors and specific brand personality traits. We hypothesized that such patterns exist, although the exact associations are difficult to predict. If such patterns are found, they can assist in creating a valuable design tool with wide range of applications in product design, manufacturing, and marketing.

Causal Mapping for Research in Information Technology

Causal Mapping for Research in Information Technology
Author: V. K. Nakayama
Publisher: IGI Global
Total Pages: 404
Release: 2005-01-01
Genre: Computers
ISBN: 9781591403975

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"The causal mapping method has been used in a variety of research areas. The purpose of this book is to provide an introduction to causal mapping for IS researchers and practitioners, providing them everything they need to use causal mapping for both research and application"--Provided by publisher.

Fundamentals of Neural Network Modeling

Fundamentals of Neural Network Modeling
Author: Randolph W. Parks
Publisher: MIT Press
Total Pages: 450
Release: 1998
Genre: Cognition
ISBN: 9780262161756

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Provides an introduction to the neural network modeling of complex cognitive and neuropsychological processes. Over the past few years, computer modeling has become more prevalent in the clinical sciences as an alternative to traditional symbol-processing models. This book provides an introduction to the neural network modeling of complex cognitive and neuropsychological processes. It is intended to make the neural network approach accessible to practicing neuropsychologists, psychologists, neurologists, and psychiatrists. It will also be a useful resource for computer scientists, mathematicians, and interdisciplinary cognitive neuroscientists. The editors (in their introduction) and contributors explain the basic concepts behind modeling and avoid the use of high-level mathematics. The book is divided into four parts. Part I provides an extensive but basic overview of neural network modeling, including its history, present, and future trends. It also includes chapters on attention, memory, and primate studies. Part II discusses neural network models of behavioral states such as alcohol dependence, learned helplessness, depression, and waking and sleeping. Part III presents neural network models of neuropsychological tests such as the Wisconsin Card Sorting Task, the Tower of Hanoi, and the Stroop Test. Finally, part IV describes the application of neural network models to dementia: models of acetycholine and memory, verbal fluency, Parkinsons disease, and Alzheimer's disease. Contributors J. Wesson Ashford, Rajendra D. Badgaiyan, Jean P. Banquet, Yves Burnod, Nelson Butters, John Cardoso, Agnes S. Chan, Jean-Pierre Changeux, Kerry L. Coburn, Jonathan D. Cohen, Laurent Cohen, Jose L. Contreras-Vidal, Antonio R. Damasio, Hanna Damasio, Stanislas Dehaene, Martha J. Farah, Joaquin M. Fuster, Philippe Gaussier, Angelika Gissler, Dylan G. Harwood, Michael E. Hasselmo, J, Allan Hobson, Sam Leven, Daniel S. Levine, Debra L. Long, Roderick K. Mahurin, Raymond L. Ownby, Randolph W. Parks, Michael I. Posner, David P. Salmon, David Servan-Schreiber, Chantal E. Stern, Jeffrey P. Sutton, Lynette J. Tippett, Daniel Tranel, Bradley Wyble