Mdata Cognitive Model Theory And Applications
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Mdata Cognitive Model Theory And Applications
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Author : Yan Jia
language : en
Publisher: Springer Nature
Release Date : 2025-03-05
Mdata Cognitive Model Theory And Applications written by Yan Jia and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-05 with Computers categories.
This book presents the theoretical foundations of the MDATA cognitive model and its applications in the field of cybersecurity. The MDATA model is an innovative analytical tool designed to simulate and improve cognitive processes. It bridges cognitive science and cybersecurity, making it essential for professionals and researchers in these fields. The core content explores three critical technologies within the MDATA model: knowledge representation, knowledge acquisition, and knowledge application. Each section provides in-depth technical analysis and practical applications, enabling readers to grasp the structural and operational principles of the model. With clear implementation strategies, the book equips readers to apply the MDATA model in real-world scenarios. Through detailed case studies, the book demonstrates how the MDATA model enhances the identification and resolution of cybersecurity threats. Applications include network attack analysis, open-source intelligence, public sentiment monitoring, and cybersecurity assessments. Readers will gain a powerful tool for navigating complex cybersecurity incidents, making this book an indispensable resource for cybersecurity professionals, AI researchers, and data analysts. A foundational understanding of cybersecurity and cognitive science is recommended.
Cognitive Modeling
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Author : Thad A. Polk
language : en
Publisher: MIT Press
Release Date : 2002
Cognitive Modeling written by Thad A. Polk and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with Psychology categories.
A comprehensive introduction to the computational modeling of human cognition.
A Cognitive Approach To Situation Awareness Theory And Application
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Author : Sébastien Tremblay
language : en
Publisher: Routledge
Release Date : 2017-03-02
A Cognitive Approach To Situation Awareness Theory And Application written by Sébastien Tremblay and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-03-02 with Psychology categories.
The importance of 'situation awareness' (SA) in assessing and predicting operator competence in complex environments has become increasingly apparent in recent years. It has been widely established that SA is a contributing factor to many commercial and military accidents and incidents. Yet determining exactly what constitutes SA is a very difficult task, given the complexity of the construct itself, and the many different processes involved with its acquisition and maintenance. This volume brings together recent developments from researchers and practitioners from around the world who are studying and applying SA from a cognitive perspective. The 41 contributors represent many different theoretical perspectives, research approaches and domains of application. Each chapter has a primary emphasis around one of three main topics - theory, measurement and application and examines the considerable inter-linkage between them. To bring further coherence to the book, all of the contributors received draft manuscripts of those chapters most relevant to their own. Designed to be completely international and interdisciplinary, the authors themselves present varied perspectives from academic departments and industrial organisations from around the world, and from broad applications - with contributions from researchers in the domains of process control, sport, aviation, transportation, and command and control. The readership includes practitioners, academics and researchers within human factors, ergonomics and industrial psychology; Graduate and Undergraduate students specialising within these areas during their final year.
Advances And Trends In Artificial Intelligence Theory And Applications
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Author : Hamido Fujita
language : en
Publisher: Springer Nature
Release Date : 2025-07-11
Advances And Trends In Artificial Intelligence Theory And Applications written by Hamido Fujita and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-11 with Computers categories.
This book constitutes the refereed proceedings of the 38th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems on Advances and Trends in Artificial Intelligence, IEA/AIE 2025, held in Kitakyushu, Japan, in July 1–4, 2025. The 80 full papers and 9 short papers included in this book were carefully reviewed and selected from 130 submissions. They focus on the following topical sections: Part I: Reinforcement Learning; Optimization; Natural Language Processing; Multi-Agent; Machine Learning and Decision Making; Knowledge Representation; Data Engineering; Large Language Model; Computer Vision. Part II: Robotics; Education; Cyber Security; Healthcare and Medical Applications; Advanced Applied Intelligence Methodologies and Applications; Intelligent Systems and e-Applications; Industrial and Engineering Applications.
The Oxford Handbook Of Thinking And Reasoning
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Author : Keith J. Holyoak
language : en
Publisher: Oxford University Press, USA
Release Date : 2013-05-23
The Oxford Handbook Of Thinking And Reasoning written by Keith J. Holyoak and has been published by Oxford University Press, USA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-05-23 with Psychology categories.
The Oxford Handbook of Thinking and Reasoning brings together the contributions of many of the leading researchers in thinking and reasoning to create the most comprehensive overview of research on thinking and reasoning that has ever been available.
Handbook Of Dynamic Data Driven Applications Systems
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Author : Erik Blasch
language : en
Publisher: Springer
Release Date : 2018-11-13
Handbook Of Dynamic Data Driven Applications Systems written by Erik Blasch and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-11-13 with Computers categories.
The Handbook of Dynamic Data Driven Applications Systems establishes an authoritative reference of DDDAS, pioneered by Dr. Darema and the co-authors for researchers and practitioners developing DDDAS technologies. Beginning with general concepts and history of the paradigm, the text provides 32 chapters by leading experts in10 application areas to enable an accurate understanding, analysis, and control of complex systems; be they natural, engineered, or societal: Earth and Space Data Assimilation Aircraft Systems Processing Structures Health Monitoring Biological Data Assessment Object and Activity Tracking Embedded Control and Coordination Energy-Aware Optimization Image and Video Computing Security and Policy Coding Systems Design The authors explain how DDDAS unifies the computational and instrumentation aspects of an application system, extends the notion of Smart Computing to span from the high-end to the real-time data acquisition and control, and manages Big Data exploitation with high-dimensional model coordination.
From Brain Dynamics To The Mind
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Author : Georg Northoff
language : en
Publisher: Elsevier
Release Date : 2024-04-01
From Brain Dynamics To The Mind written by Georg Northoff and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-01 with Medical categories.
From Brain Dynamics to the Mind: Spatiotemporal Neuroscience explores how the self and consciousness is related to neural events. Sections in the book cover existing models used to describe the mind/brain problem, recent research on brain mechanisms and processes and what they tell us about the self, consciousness and psychiatric disorders. The book presents a spatiotemporal approach to understanding the brain and the implications for artificial intelligence, novel therapies for psychiatric disorders, and for ethical, societal and philosophical issues. Pulling concepts from neuroscience, psychology and philosophy, the book presents a modern and complete look at what we know, what we can surmise, and what we may never know about the distinction between brain and mind. - Reviews models of understanding the mind/brain problem - Identifies neural processes involved in consciousness, sense of self and brain function - Includes concepts and research from neuroscience, psychology, cognitive science and philosophy - Discusses implications for AI, novel therapies for psychiatric disorders and issues of ethics - Suggests experimental designs and data analyses for future research on the mind/brain issue
Deep Learning For Medical Applications With Unique Data
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Author : Deepak Gupta
language : en
Publisher: Academic Press
Release Date : 2022-02-15
Deep Learning For Medical Applications With Unique Data written by Deepak Gupta and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-15 with Science categories.
Deep Learning for Medical Applications with Unique Data informs readers about the most recent deep learning-based medical applications in which only unique data gathered in real cases are used. The book provides examples of how deep learning can be used in different problem areas and frameworks in both clinical and research settings, including medical image analysis, medical image registration, time series analysis, medical data synthesis, drug discovery, and pre-processing operations. The volume discusses not only positive findings, but also negative ones obtained by deep learning techniques, including the use of newly developed deep learning techniques rarely reported in the existing literature. The book excludes research works with ready data sets and includes only unique data use to better understand the state of deep learning in real-world cases, along with the feedback and user experiences from physicians and medical staff for applied deep learning-based solutions. Other applications presented in the book include hybrid solutions with deep learning support, disease diagnosis with deep learning focusing on rare diseases and cancer, patient care and treatment, genomics research, as well as research on robotics and autonomous systems. - Introduces deep learning, demonstrating concepts for a wide variety of medical applications using unique data, excluding research with ready datasets - Encompasses a wide variety of biomedical applications, including unsupervised learning, natural language processing, pattern recognition, image and video processing and disease diagnosis - Provides a robust set of methods that will help readers appropriately and judiciously use the most suitable deep learning techniques for their applications
Stevens Handbook Of Experimental Psychology And Cognitive Neuroscience Methodology
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Author :
language : en
Publisher: John Wiley & Sons
Release Date : 2018-02-12
Stevens Handbook Of Experimental Psychology And Cognitive Neuroscience Methodology written by and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-02-12 with Psychology categories.
V. Methodology: E. J. Wagenmakers (Volume Editor) Topics covered include methods and models in categorization; cultural consensus theory; network models for clinical psychology; response time modeling; analyzing neural time series data; models and methods for reinforcement learning; convergent methods of memory research; theories for discriminating signal from noise; bayesian cognitive modeling; mathematical modeling in cognition and cognitive neuroscience; the stop-signal paradigm; hypothesis testing and statistical inference; model comparison in psychology; fmri; neural recordings; open science; neural networks and neurocomputational modeling; serial versus parallel processing; methods in psychophysics.
Application Of Visual Data In K 16 Science Classrooms
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Author : Kevin D. Finson
language : en
Publisher: IAP
Release Date : 2015-03-01
Application Of Visual Data In K 16 Science Classrooms written by Kevin D. Finson and has been published by IAP this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-03-01 with Education categories.
This book examines visual data use with students (PK-16) as well as in pre-service in- service science teacher preparation. Each chapter includes discussion about the current state of the art with respect to science classroom application and utilization of the particular visual data targeted by the author(s), discussion and explanation about the targeted visual data as applied by the author in his/her classroom, use of visual data as a diagnostic tool, its use as an assessment tool, and discussion of implications for science teaching and/or science teacher preparation. Although the body of research and practice in this field is growing, there remains a gap in the literature about clearly explicating the use of visual data in the science classroom. A growing body of literature discusses what visual data are (although this topic is still viewed as being at the beginning of its development in educators’ thinking), and there are some scattered examples of studies exploring the use of visual data in science classrooms, although those studies have not necessarily clearly identified their foci as visual data, per se. As interest and attention has become more focused on visual data, a logical progression of questioning has been how visual data are actually applied in the science classroom, whether it be early elementary, college, or somewhere in between. Visual data applications of interest to the science education community include how it is identified, how it can be used with students and how students can generate it themselves, how it can be employed as a diagnostic tool in concept development, and how it can be utilized as an assessment tool. This book explores that, as well as a variety of pragmatic ways to help science educators more effectively utilize visual data and representations in their instruction.