Download or read book Cognitive Modeling of Human Memory and Learning written by Amit Konar and published by John Wiley & Sons. This book was released on 2020-09-02 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: Proposes computational models of human memory and learning using a brain-computer interfacing (BCI) approach Human memory modeling is important from two perspectives. First, the precise fitting of the model to an individual's short-term or working memory may help in predicting memory performance of the subject in future. Second, memory models provide a biological insight to the encoding and recall mechanisms undertaken by the neurons present in active brain lobes, participating in the memorization process. This book models human memory from a cognitive standpoint by utilizing brain activations acquired from the cortex by electroencephalographic (EEG) and functional near-infrared-spectroscopic (f-NIRs) means. Cognitive Modeling of Human Memory and Learning A Non-invasive Brain-Computer Interfacing Approach begins with an overview of the early models of memory. The authors then propose a simplistic model of Working Memory (WM) built with fuzzy Hebbian learning. A second perspective of memory models is concerned with Short-Term Memory (STM)-modeling in the context of 2-dimensional object-shape reconstruction from visually examined memorized instances. A third model assesses the subjective motor learning skill in driving from erroneous motor actions. Other models introduce a novel strategy of designing a two-layered deep Long Short-Term Memory (LSTM) classifier network and also deal with cognitive load assessment in motor learning tasks associated with driving. The book ends with concluding remarks based on principles and experimental results acquired in previous chapters. Examines the scope of computational models of memory and learning with special emphasis on classification of memory tasks by deep learning-based models Proposes two algorithms of type-2 fuzzy reasoning: Interval Type-2 fuzzy reasoning (IT2FR) and General Type-2 Fuzzy Sets (GT2FS) Considers three classes of cognitive loads in the motor learning tasks for driving learners Cognitive Modeling of Human Memory and Learning A Non-invasive Brain-Computer Interfacing Approach will appeal to researchers in cognitive neuro-science and human/brain-computer interfaces. It is also beneficial to graduate students of computer science/electrical/electronic engineering.
Download or read book Modeling Human and Organizational Behavior written by Panel on Modeling Human Behavior and Command Decision Making: Representations for Military Simulations and published by National Academies Press. This book was released on 1998-08-14 with total page 433 pages. Available in PDF, EPUB and Kindle. Book excerpt: Simulations are widely used in the military for training personnel, analyzing proposed equipment, and rehearsing missions, and these simulations need realistic models of human behavior. This book draws together a wide variety of theoretical and applied research in human behavior modeling that can be considered for use in those simulations. It covers behavior at the individual, unit, and command level. At the individual soldier level, the topics covered include attention, learning, memory, decisionmaking, perception, situation awareness, and planning. At the unit level, the focus is on command and control. The book provides short-, medium-, and long-term goals for research and development of more realistic models of human behavior.
Download or read book Cognitive Modeling written by Thad A. Polk and published by MIT Press. This book was released on 2002 with total page 1300 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive introduction to the computational modeling of human cognition.
Download or read book Models of Human Memory written by Donald A. Norman and published by Elsevier. This book was released on 2013-10-22 with total page 556 pages. Available in PDF, EPUB and Kindle. Book excerpt: Models of Human Memory provides an overview of the state of knowledge on human memory models. The book begins with an introductory chapter on the basic stages of the memory system and the historical roots of memory models. The remaining chapters are organized into five parts. Part I on memory systems covers topics such as a system for perception and memory; multi-trace strength theory of memory; and a model for postperceptual verbal memory that postulates a single memory store, with multiple copies, called replicas, created in memory by rehearsal processes. Part II presents studies phoneme storage and word recognition. Part III on memory for associations examines the storage-retrieval theory for the memorizing processes and presents simple model of short-term memory (STM) for paired associates. Part IV on storage and retrieval mechanisms deals with mechanisms of repetition and rehearsal in short-term memory; models of recall and recognition; and memory search models. Part V presents a theory of human long-term associative memory; and examines conceptual and methodological interactions between information-processing investigations of cognitive activity and attempts to build models of memory.
Download or read book Cognitive Modeling of Human Memory and Learning written by Lidia Ghosh and published by John Wiley & Sons. This book was released on 2020-08-21 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: Proposes computational models of human memory and learning using a brain-computer interfacing (BCI) approach Human memory modeling is important from two perspectives. First, the precise fitting of the model to an individual's short-term or working memory may help in predicting memory performance of the subject in future. Second, memory models provide a biological insight to the encoding and recall mechanisms undertaken by the neurons present in active brain lobes, participating in the memorization process. This book models human memory from a cognitive standpoint by utilizing brain activations acquired from the cortex by electroencephalographic (EEG) and functional near-infrared-spectroscopic (f-NIRs) means. Cognitive Modeling of Human Memory and Learning A Non-invasive Brain-Computer Interfacing Approach begins with an overview of the early models of memory. The authors then propose a simplistic model of Working Memory (WM) built with fuzzy Hebbian learning. A second perspective of memory models is concerned with Short-Term Memory (STM)-modeling in the context of 2-dimensional object-shape reconstruction from visually examined memorized instances. A third model assesses the subjective motor learning skill in driving from erroneous motor actions. Other models introduce a novel strategy of designing a two-layered deep Long Short-Term Memory (LSTM) classifier network and also deal with cognitive load assessment in motor learning tasks associated with driving. The book ends with concluding remarks based on principles and experimental results acquired in previous chapters. Examines the scope of computational models of memory and learning with special emphasis on classification of memory tasks by deep learning-based models Proposes two algorithms of type-2 fuzzy reasoning: Interval Type-2 fuzzy reasoning (IT2FR) and General Type-2 Fuzzy Sets (GT2FS) Considers three classes of cognitive loads in the motor learning tasks for driving learners Cognitive Modeling of Human Memory and Learning A Non-invasive Brain-Computer Interfacing Approach will appeal to researchers in cognitive neuro-science and human/brain-computer interfaces. It is also beneficial to graduate students of computer science/electrical/electronic engineering.
Download or read book Cognitive Models of Memory written by Martin A. Conway and published by MIT Press. This book was released on 1997 with total page 390 pages. Available in PDF, EPUB and Kindle. Book excerpt: The chapters of this volume evaluate models of the short-term retention of knowledge, conceptual knowledge, autobiographical knowledge, transitory mental representations, the neurobiological basis of memory, and age-related changes in human memory.
Download or read book The Cambridge Handbook of Cognitive Science written by Keith Frankish and published by Cambridge University Press. This book was released on 2012-07-19 with total page 349 pages. Available in PDF, EPUB and Kindle. Book excerpt: An authoritative, up-to-date survey of the state of the art in cognitive science, written for non-specialists.
Download or read book An Introduction to Model Based Cognitive Neuroscience written by Birte U. Forstmann and published by Springer Nature. This book was released on with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Cognitive Modeling in Perception and Memory written by J G W Raaijmakers and published by Psychology Press. This book was released on 2015-02-11 with total page 329 pages. Available in PDF, EPUB and Kindle. Book excerpt: The work of Richard M. Shiffrin has highly impacted the field of cognitive science, and current developments within perception and memory have been influenced by his ideas. In this volume, several key figures in the field will comment on these developments and put them in a wider perspective. Although many theories and models have been presented in recent years for various aspects of human cognition, there have not been many comparative evaluations that focus on how these models have really advanced our understanding of the underlying mechanisms. This volume will be a valuable source of information for both cognitive scientists working in the field, and researchers and students looking for a clear, accessible presentation of the key problems in cognitive science. Highlighted sections include attention and perception, memory functions and processes, knowledge representation and semantics, modelling approaches and applications.
Download or read book How to Build a Brain written by Chris Eliasmith and published by Oxford University Press. This book was released on 2013-04-16 with total page 475 pages. Available in PDF, EPUB and Kindle. Book excerpt: How to Build a Brain provides a detailed exploration of a new cognitive architecture - the Semantic Pointer Architecture - that takes biological detail seriously, while addressing cognitive phenomena. Topics ranging from semantics and syntax, to neural coding and spike-timing-dependent plasticity are integrated to develop the world's largest functional brain model.
Download or read book on Human Memory written by Chizuko Izawa and published by Psychology Press. This book was released on 1999-04-01 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt: The model of human memory proposed in 1968 by Atkinson and Shiffrin has the distinction of having revolutionized information-processing theory. It catapulated a whole generation of cognitive psychologists into sustained research programs that continue to be productive year after year. The book's notable authors analyze and deliberate on the model's monumental scientific contributions to human learning and memory. They also challenge it and delve into its likely future evolution and impact on learning and memory. The volume was published in celebration of the 30th anniversary of the Atkinson-Shiffrin model and sets forth a provocative future for memory workers and learning theorists.
Download or read book Trends and Challenges in Cognitive Modeling written by Tomas Veloz and published by Springer Nature. This book was released on 2024-01-23 with total page 191 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents interdisciplinary research in the science of Human Cognition through mathematical and computational modeling and simulation. Featuring new approaches developed by leading experts in the field of cognitive science, it highlights the relevance and depth of this important area of social sciences and its expanding reach into the biological, physical, computational and mathematical sciences. This contributed volume compiles the most recent advancements and cutting-edge applications of cognitive modeling, employing a genuinely multidisciplinary approach to simulate thinking, memory, and decision-making. The topics covered encompass a wide range of subjects, such as Agent-based Modeling in psychological research, the Nyayasutra proof pattern, the utilization of the Pheromone Trail Algorithm for modeling Analog Memory, the theory and practical applications of Social Laser Theory, addressing the challenges of probabilistic learning in brain and behavior models, adopting a Physicalistic perspective to understand the emergence of cognition and computation, an in-depth analysis of the conjunction fallacy as a factual occurrence, exploring quantum modeling and causality in physics and its extensions, examining compositional vector semantics within spiking neural networks, delving into the realms of Optimality, Prototypes, and Bilingualism, and finally, investigating the intricate dimensionality of color perception. Given its scope and approach, the book will benefit researchers and students of computational social sciences, mathematics and its applications, quantum physics.
Download or read book Human Memory written by Alan D. Baddeley and published by Psychology Press. This book was released on 1997 with total page 496 pages. Available in PDF, EPUB and Kindle. Book excerpt: The models of how human memory works and developments in our understanding of the subject are explained and examined in this textbook for students and professionals. The author has tried to keep the style accessible for the general reader too
Download or read book Human Memory written by Kenneth J. Malmberg and published by Cambridge University Press. This book was released on 2024-06-30 with total page 275 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive account of the past 50 years of cognitive research on human memory.
Download or read book Cognitive Systems written by Chris Forsythe and published by Psychology Press. This book was released on 2006-08-15 with total page 325 pages. Available in PDF, EPUB and Kindle. Book excerpt: The leading thinkers from the cognitive science tradition participated in a workshop sponsored by Sandia National Laboratories in July of 2003 to discuss progress in building their models. The goal was to summarize the theoretical and empirical bases for cognitive systems and to present exemplary developments in the field. Following the workshop, a great deal of planning went into the creation of this book. Eleven of the twenty-six presenters were asked to contribute chapters, and four chapters are the product of the breakout sessions in which critical topics were discussed among the participants. An introductory chapter provides the context for this compilation. Cognitive Systems thus presents a unique merger of cognitive modeling and intelligent systems, and attempts to overcome many of the problems inherent in current expert systems. It will be of interest to researchers and students in the fields of cognitive science, computational modeling, intelligent systems, artificial intelligence, and human-computer interaction.
Download or read book Cognitive Modeling written by Jerome R. Busemeyer and published by SAGE. This book was released on 2010 with total page 225 pages. Available in PDF, EPUB and Kindle. Book excerpt: Responding to an explosion of new mathematical and computational models used in the fields of cognitive science, this book provides simple tutorials concerning the development and testing of such models. The authors focus on a few key models, with a primary goal of equipping readers with the fundamental principles, methods, and tools necessary for evaluating and testing any type of model encountered in the field of cognitive science.
Download or read book Relating Theory and Data written by William E. Hockley and published by Psychology Press. This book was released on 2014-01-02 with total page 575 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
