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Cognitive and Neural Modelling for Visual Information Representation and Memorization
by Limiao DengFocusing on how visual information is represented, stored and extracted in the human brain, this book uses cognitive neural modeling in order to show how visual information is represented and memorized in the brain. Breaking through traditional visual information processing methods, the author combines our understanding of perception and memory from the human brain with computer vision technology, and provides a new approach for image recognition and classification. While biological visual cognition models and human brain memory models are established, applications such as pest recognition and carrot detection are also involved in this book. Given the range of topics covered, this book is a valuable resource for students, researchers and practitioners interested in the rapidly evolving field of neurocomputing, computer vision and machine learning.
Cognitive and Neural Modelling for Visual Information Representation and Memorization
by Limiao DengFocusing on how visual information is represented, stored and extracted in the human brain, this book uses cognitive neural modeling in order to show how visual information is represented and memorized in the brain. Breaking through traditional visual information processing methods, the author combines our understanding of perception and memory from the human brain with computer vision technology, and provides a new approach for image recognition and classification. While biological visual cognition models and human brain memory models are established, applications such as pest recognition and carrot detection are also involved in this book. Given the range of topics covered, this book is a valuable resource for students, researchers and practitioners interested in the rapidly evolving field of neurocomputing, computer vision and machine learning.
Cognitive Approach to Natural Language Processing
by Florence Sedes Bernadette Sharp Wieslaw LubaszewskiAs natural language processing spans many different disciplines, it is sometimes difficult to understand the contributions and the challenges that each of them presents. This book explores the special relationship between natural language processing and cognitive science, and the contribution of computer science to these two fields. It is based on the recent research papers submitted at the international workshops of Natural Language and Cognitive Science (NLPCS) which was launched in 2004 in an effort to bring together natural language researchers, computer scientists, and cognitive and linguistic scientists to collaborate together and advance research in natural language processing. The chapters cover areas related to language understanding, language generation, word association, word sense disambiguation, word predictability, text production and authorship attribution. This book will be relevant to students and researchers interested in the interdisciplinary nature of language processing. Discusses the problems and issues that researchers face, providing an opportunity for developers of NLP systems to learn from cognitive scientists, cognitive linguistics and neurolinguisticsProvides a valuable opportunity to link the study of natural language processing to the understanding of the cognitive processes of the brain
Cognitive Approaches To Automated Instruction
by J. Wesley Regian Valerie J. ShuteUseful to researchers as well as practitioners looking for guidance on designing automated instruction systems, this book provides a snapshot of the state-of-the-art in this research area. In so doing, it focuses on the two critical problems: first, diagnosis of the student's current level of understanding or performance; and second, selection of the appropriate intervention that will transition the student toward expert performance. Containing a comprehensive set of principled approaches to automated instruction, diagnosis, and remediation, it is the first volume on the topic to provide specific, detailed guidance on how to develop these systems. Leading researchers and practitioners represented in this book address the following questions in each chapter: * What is your approach to cognitive diagnosis for automated instruction? * What is the theoretical basis of your approach? * What data support the utility of the approach? * What is the range of applicability of your approach? * What knowledge engineering or task analysis methods are required to support your approach? Referring to automated instruction as instruction that is delivered on any microprocessor-based system, the contributors to -- and editors of -- this book believe that is it possible for automated instructional systems to be more effective than they currently are. Specifically, they argue that by using artificial intelligence programming techniques, it is possible for automated instructional systems to emulate the desirable properties of human tutors in one-on-one instruction.
Cognitive Approaches To Automated Instruction
by J. Wesley Regian Valerie J. Shute Valerie ShuteUseful to researchers as well as practitioners looking for guidance on designing automated instruction systems, this book provides a snapshot of the state-of-the-art in this research area. In so doing, it focuses on the two critical problems: first, diagnosis of the student's current level of understanding or performance; and second, selection of the appropriate intervention that will transition the student toward expert performance. Containing a comprehensive set of principled approaches to automated instruction, diagnosis, and remediation, it is the first volume on the topic to provide specific, detailed guidance on how to develop these systems. Leading researchers and practitioners represented in this book address the following questions in each chapter: * What is your approach to cognitive diagnosis for automated instruction? * What is the theoretical basis of your approach? * What data support the utility of the approach? * What is the range of applicability of your approach? * What knowledge engineering or task analysis methods are required to support your approach? Referring to automated instruction as instruction that is delivered on any microprocessor-based system, the contributors to -- and editors of -- this book believe that is it possible for automated instructional systems to be more effective than they currently are. Specifically, they argue that by using artificial intelligence programming techniques, it is possible for automated instructional systems to emulate the desirable properties of human tutors in one-on-one instruction.
Cognitive Architectures (Intelligent Systems, Control and Automation: Science and Engineering #94)
by Maria Isabel Aldinhas Ferreira João Silva Sequeira Rodrigo VenturaThis book provides an integrated framework for natural and artificial cognition by highlighting the fundamental role played by the cognitive architecture in the dialectics with the surrounding environment and consequently in the definition of a particular meaningful world.This book is also about embodied and non-embodied artificial systems, cognitive architectures that are human constructs, meant to be able to populate the human world, capable of identifying different life contexts and replicating human patterns of behavior capable of acting according to human values and conventions, systems that perform tasks in a human-like way. By identifying the essential phenomena at the core of all forms of cognition, the book addresses the topic of design of artificial cognitive architectures in the domains of robotics and artificial life. Moving from mere bio-inspired design methodology it aims to open a pathway to semiotically determined design.
Cognitive Aspects of Computational Language Acquisition (Theory and Applications of Natural Language Processing)
by Aline Villavicencio, Thierry Poibeau, Anna Korhonen and Afra AlishahiQuestions related to language acquisition have been of interest for many centuries, as children seem to acquire a sophisticated capacity for processing language with apparent ease, in the face of ambiguity, noise and uncertainty. However, with recent advances in technology and cognitive-related research it is now possible to conduct large-scale computational investigations of these issuesThe book discusses some of the latest theoretical and practical developments in the areas involved, including computational models for language tasks, tools and resources that help to approximate the linguistic environment available to children during acquisition, and discussions of challenging aspects of language that children have to master. This is a much-needed collection that provides a cross-section of recent multidisciplinary research on the computational modeling of language acquisition. It is targeted at anyone interested in the relevance of computational techniques for understanding language acquisition. Readers of this book will be introduced to some of the latest approaches to these tasks including:* Models of acquisition of various types of linguistic information (from words to syntax and semantics) and their relevance to research on human language acquisition * Analysis of linguistic and contextual factors that influence acquisition * Resources and tools for investigating these tasksEach chapter is presented in a self-contained manner, providing a detailed description of the relevant aspects related to research on language acquisition, and includes illustrations and tables to complement these in-depth discussions. Though there are no formal prerequisites, some familiarity with the basic concepts of human and computational language acquisition is beneficial.
Cognitive Aspects of Human-Computer Interaction for Geographic Information Systems (NATO Science Series D: #83)
by Max J. Egenhofer RobertLaurini David M. Mark Timothy L. NyergesA significant part of understanding how people use geographic information and technology concerns human cognition. This book provides the first comprehensive in-depth examination of the cognitive aspects of human-computer interaction for geographic information systems (GIS). Cognitive aspects are treated in relation to individual, group, behavioral, institutional, and cultural perspectives. Extensions of GIS in the form of spatial decision support systems and SDSS for groups are part of the geographic information technology considered. Audience: Geographic information users, systems analysts and system designers, researchers in human-computer interaction will find this book an information resource for understanding cognitive aspects of geographic information technology use, and the methods appropriate for examining this use.
Cognitive Behavior and Human Computer Interaction Based on Machine Learning Algorithms
by Sandeep Kumar Rohit Raja Shrikant Tiwari Shilpa RaniThe book focuses on the way that human beings and computers interact to ever increasing levels of both complexity and simplicity. Assuming very little knowledge, the book provides content on theory, cognition, design, evaluation, and user diversity. It aims to explain the underlying causes of the cognitive, social and organizational problems typically are devoted to descriptions of rehabilitation methods for specific cognitive processes. This book describes new algorithms for modeling accessible to cognitive scientists of all varieties. The book is inherently interdisciplinary, publishing original research in the fields of computing, engineering, artificial intelligence, psychology, linguistics, and social and system organization, as applied to the design, implementation, application, analysis, and evaluation of interactive systems. Machine learning research has been being carried out for a decade at international level in various applications. The new learning approach is mostly used in machine learning based cognitive applications. This will give direction for future research to scientists and researchers working in neuroscience, neuro-imaging, machine learning based brain mapping and modeling etc.
Cognitive Behavior and Human Computer Interaction Based on Machine Learning Algorithms
by Sandeep Kumar Rohit Raja Shrikant Tiwari Shilpa RaniThe book focuses on the way that human beings and computers interact to ever increasing levels of both complexity and simplicity. Assuming very little knowledge, the book provides content on theory, cognition, design, evaluation, and user diversity. It aims to explain the underlying causes of the cognitive, social and organizational problems typically are devoted to descriptions of rehabilitation methods for specific cognitive processes. This book describes new algorithms for modeling accessible to cognitive scientists of all varieties. The book is inherently interdisciplinary, publishing original research in the fields of computing, engineering, artificial intelligence, psychology, linguistics, and social and system organization, as applied to the design, implementation, application, analysis, and evaluation of interactive systems. Machine learning research has been being carried out for a decade at international level in various applications. The new learning approach is mostly used in machine learning based cognitive applications. This will give direction for future research to scientists and researchers working in neuroscience, neuro-imaging, machine learning based brain mapping and modeling etc.
Cognitive Behavioural Systems: COST 2102 International Training School, Dresden, Germany, February 21-26, 2011, Revised Selected Papers (Lecture Notes in Computer Science #7403)
by Anna Esposito Antonietta M. Esposito Alessandro Vinciarelli Rüdiger Hoffmann Vincent MüllerThis book constitutes refereed proceedings of the COST 2102 International Training School on Cognitive Behavioural Systems held in Dresden, Germany, in February 2011. The 39 revised full papers presented were carefully reviewed and selected from various submissions. The volume presents new and original research results in the field of human-machine interaction inspired by cognitive behavioural human-human interaction features. The themes covered are on cognitive and computational social information processing, emotional and social believable Human-Computer Interaction (HCI) systems, behavioural and contextual analysis of interaction, embodiment, perception, linguistics, semantics and sentiment analysis in dialogues and interactions, algorithmic and computational issues for the automatic recognition and synthesis of emotional states.
Cognitive Biases in Visualizations
by Geoffrey EllisThis book brings together the latest research in this new and exciting area of visualization, looking at classifying and modelling cognitive biases, together with user studies which reveal their undesirable impact on human judgement, and demonstrating how visual analytic techniques can provide effective support for mitigating key biases. A comprehensive coverage of this very relevant topic is provided though this collection of extended papers from the successful DECISIVe workshop at IEEE VIS, together with an introduction to cognitive biases and an invited chapter from a leading expert in intelligence analysis.Cognitive Biases in Visualizations will be of interest to a wide audience from those studying cognitive biases to visualization designers and practitioners. It offers a choice of research frameworks, help with the design of user studies, and proposals for the effective measurement of biases. The impact of human visualization literacy, competence and human cognition on cognitive biases are also examined, as well as the notion of system-induced biases. The well referenced chapters provide an excellent starting point for gaining an awareness of the detrimental effect that some cognitive biases can have on users’ decision-making. Human behavior is complex and we are only just starting to unravel the processes involved and investigate ways in which the computer can assist, however the final section supports the prospect that visual analytics, in particular, can counter some of the more common cognitive errors, which have been proven to be so costly.
Cognitive Cities: Second International Conference, IC3 2019, Kyoto, Japan, September 3–6, 2019, Revised Selected Papers (Communications in Computer and Information Science #1227)
by Jian Shen Yao-Chung Chang Yu-Sheng Su Hiroaki OgataThis book constitutes refereed proceeding of the Second International Cognitive Cities Conference, IC3 2019, held in Kyoto, Japan, in September 2019. The 37 full papers and 46 short papers were thoroughly reviewed and selected from 206 submissions. The papers are organized according to the topical sections on cognitive city for special needs; cognitive city theory, modeling and simulation; XR and educational innovations for cognitive city; educational technology and strategy in cognitive city; safety, security and privacy in cognitive city; artificial intelligence theory and technology related to cognitive city; Internet of Things for cognitive city; business application and management for cognitive city; big data for cognitive city; engineering technology and applied science for cognitive city; maker, CT and STEAM education for cognitive city.
Cognitive Communication and Cooperative HetNet Coexistence: Selected Advances on Spectrum Sensing, Learning, and Security Approaches (Signals and Communication Technology)
by Maria-Gabriella Di Benedetto Faouzi BaderThis book, written by experts from universities and major industrial research laboratories, is devoted to the very hot topic of cognitive radio and networking for cooperative coexistence of heterogeneous wireless networks. Selected highly relevant advanced research is presented on spectrum sensing and progress toward the realization of accurate radio environment mapping, biomimetic learning for self-organizing networks, security threats (with a special focus on primary user emulation attack), and cognition as a tool for green next-generation networks. The research activities covered include work undertaken within the framework of the European COST Action IC0902, which is geared towards the definition of a European platform for cognitive radio and networks. Communications engineers, R&D engineers, researchers, and students will all benefit from this complete reference on recent advances in wireless communications and the design and implementation of cognitive radio systems and networks.
Cognitive Computation and Systems: First International Conference, ICCCS 2022, Beijing, China, December 17–18, 2022, Revised Selected Papers (Communications in Computer and Information Science #1732)
by Fuchun Sun Jianmin Li Huaping Liu Zhongyi ChuThis volume constitutes selected papers presented during the First International Conference on Cognitive Computation and Systems, ICCCS 2022, held in Beijing, China, in October 2022.The 31 papers were thoroughly reviewed and selected from the 75 submissions. The papers are organized in topical sections on computer vision; decision making and cognitive computation; robot and autonomous vehicle.
Cognitive Computing: Steigerung des systemischen Intelligenzprofils
by Matthias HaunZiel des Buches ist, artifizielle Systeme als kognitive Modelle und damit als wissensbasierte Agenten zu konzeptionalisieren und diese Agentenmodelle durch rechnerbasierte Technologien in prozessualer und funktionaler Hinsicht zu kognitiven Problemlösungssysteme auszugestalten. Das Ziel eines solchen Ansatzes liegt in der Steigerung des systemischen Kognitionsquotienten solcher Systeme. Erreichbar wird dieses Ziel durch die Konzeptionalisierung von Modellen auf Basis einer Kognitionstheorie, der (Aus)implementierung dieser Modelle durch den Einsatz der Cognitive Computing Technologie unter Verwendung der Programmiersprache Java und der Validierung dieser Lösungen im Rahmen von Simulationen. Das Buch wendet sich gleichermaßen an Studierende, Fachleute aller Fachrichtungen als auch den interessierten Leser. Indem die einzelnen Kapitel einen Brückenschlag zwischen Standardwissen und Wissen aus Nachbargebieten, wie Kognitionswissenschaft oder Informatik darstellen, versucht dieses Handbuch ein tiefgreifendes Verständnis des komplexen Themengebietes „Artifizielle Kognition“ zu ermöglichen und dabei dennoch voraussetzungsfrei lesbar zu bleiben.
Cognitive Computing: Theorie, Technik und Praxis (Edition Informatik Spektrum #63)
by Edy Portmann Sara D'OnofrioMit diesem Buch führen die Herausgeber den Begriff „Cognitive Computing“ ein. Unter Cognitive Computing werden verschiedene Technologieansätze wie künstliche neuronale Netze, Fuzzy-Systeme und evolutionäres Rechnen zusammengefasst mit dem Ziel, die kognitiven Fähigkeiten eines Menschen (Denken, Lernen, Schlussfolgern etc.) mithilfe von Computermodellen zu simulieren. Nebst den theoretischen Grundlagen widmet sich das Herausgeberwerk der Vielfalt verschiedener Anwendungsmöglichkeiten und zeigt erste Erfahrungen aus Pionierprojekten. Das Buch richtet sich gleichermaßen an Studierende, Fachleute aller Fachrichtungen sowie den interessierten Anwender. Es hilft dem Leser, die Bedeutungsvielfalt des Begriffs Cognitive Computing zu verstehen und verschiedene Einsatzmöglichkeiten im eigenen Umfeld zu erkennen und zu bewerten.
Cognitive Computing – ICCC 2018: Second International Conference, Held as Part of the Services Conference Federation, SCF 2018, Seattle, WA, USA, June 25-30, 2018, Proceedings (Lecture Notes in Computer Science #10971)
by Jing Xiao Zhi-Hong Mao Toyotaro Suzumura Liang-Jie ZhangThis book constitutes the proceedings of the International Conference on Cognitive Computing, ICCC 2018, held as part of SCF 2018, in Seattle, WA, USA, in June 2018. The 15 papers presented in this volume were carefully reviewed and selected from numerous submissions. The papers cover all aspects of Sensing Intelligence (SI) as a Service (SIaaS). Cognitive Computing is a sensing-driven computing (SDC) schema that explores and integrates intelligence from all types of senses in various scenarios and solution contexts.
Cognitive Computing – ICCC 2019: Third International Conference, Held as Part of the Services Conference Federation, SCF 2019, San Diego, CA, USA, June 25–30, 2019, Proceedings (Lecture Notes in Computer Science #11518)
by Ruifeng Xu Jianzong Wang Liang-Jie ZhangThis book constitutes the proceedings of the International Conference on Cognitive Computing, ICCC 2019, held as part of SCF 2019, in San Diego, CA, USA, in June 2019. The 14 full and 3 short papers presented in this volume were carefully reviewed and selected from 42 submissions. The papers cover all aspects of Sensing Intelligence (SIJ as a Service (SlaaS). Cognitive Computing is a sensing-driven computing (SDC) scheme that explores and integrates intelligence from all types of senses in various scenarios and solution contexts
Cognitive Computing – ICCC 2020: 4th International Conference, Held as Part of the Services Conference Federation, SCF 2020, Honolulu, HI, USA, September 18-20, 2020, Proceedings (Lecture Notes in Computer Science #12408)
by Yujiu Yang Lei Yu Liang-Jie ZhangThis book constitutes the proceedings of the International Conference on Cognitive Computing, ICCC 2020, held as part of SCF 2020 in Honolulu, HI, USA, in September 2020.The conference was held virtually due to the COVID-19 pandemic. The 8 full and 2 short papers presented in this volume were carefully reviewed and selected from 20 submissions. The papers cover all aspects of Sensing Intelligence (SIJ as a Service (SlaaS). Cognitive Computing is a sensing-driven computing (SDC) scheme that explores and integrates intelligence from all types of senses in various scenarios and solution contexts.
Cognitive Computing – ICCC 2021: 5th International Conference, Held as Part of the Services Conference Federation, SCF 2021, Virtual Event, December 10–14, 2021, Proceedings (Lecture Notes in Computer Science #12992)
by Ruifeng Xu Cheng Cai Liang-Jie ZhangThis book constitutes the proceedings of the International Conference on Cognitive Computing, ICCC 2021, held as part of SCF 2021 in December 2021. The conference was held virtually due to the COVID-19 pandemic. The 5 full and 3 short papers presented in this volume were carefully reviewed and selected from 31 submissions. The papers cover all aspects of Sensing Intelligence (SIJ as a Service (SlaaS). Cognitive Computing is a sensing-driven computing (SDC) scheme that explores and integrates intelligence from all types of senses in various scenarios and solution contexts.
Cognitive Computing – ICCC 2022: 6th International Conference, Held as Part of the Services Conference Federation, SCF 2022, Honolulu, HI, USA, December 10-14, 2022, Proceedings (Lecture Notes in Computer Science #13734)
by Yujiu Yang Xiaohui Wang Liang-Jie ZhangThis book constitutes the proceedings of the International Conference on Cognitive Computing, ICCC 2022, held as part of SCF 2022 in December 2022. The conference was held in Honolulu, USA.The 6 full and 2 short papers presented in this volume were carefully reviewed and selected from 17 submissions. The papers cover all aspects of Sensing Intelligence (SIJ as a Service (SlaaS). Cognitive Computing is a sensing-driven computing (SDC) scheme that explores and integrates intelligence from all types of senses in various scenarios and solution contexts.
Cognitive Computing – ICCC 2023: 7th International Conference Held as Part of the Services Conference Federation, SCF 2023 Shenzhen, China, December 17-18, 2023 Proceedings (Lecture Notes in Computer Science #14207)
by Xiuqin Pan Ting Jin Liang-Jie ZhangThis book constitutes the refereed proceedings of the 7th International Conference on Cognitive Computing, ICCC 2023, held in Shenzhen, China, during December 17–18, 2023.The 9 full papers in this book were carefully reviewed and selected from 14 submissions. They are organized in topical sections as follows: Cognitive Computing Technologies and Infrastructure, Cognitive Computing Applications, Sensing Intelligence, Cognitive Analysis, Mobile Services, Cognitive Computing on Smart Home, and Cognitive Computing on Smart City.
Cognitive Computing and Big Data Analytics
by Judith S. Hurwitz Marcia Kaufman Adrian BowlesA comprehensive guide to learning technologies that unlock the value in big data Cognitive Computing provides detailed guidance toward building a new class of systems that learn from experience and derive insights to unlock the value of big data. This book helps technologists understand cognitive computing's underlying technologies, from knowledge representation techniques and natural language processing algorithms to dynamic learning approaches based on accumulated evidence, rather than reprogramming. Detailed case examples from the financial, healthcare, and manufacturing walk readers step-by-step through the design and testing of cognitive systems, and expert perspectives from organizations such as Cleveland Clinic, Memorial Sloan-Kettering, as well as commercial vendors that are creating solutions. These organizations provide insight into the real-world implementation of cognitive computing systems. The IBM Watson cognitive computing platform is described in a detailed chapter because of its significance in helping to define this emerging market. In addition, the book includes implementations of emerging projects from Qualcomm, Hitachi, Google and Amazon. Today's cognitive computing solutions build on established concepts from artificial intelligence, natural language processing, ontologies, and leverage advances in big data management and analytics. They foreshadow an intelligent infrastructure that enables a new generation of customer and context-aware smart applications in all industries. Cognitive Computing is a comprehensive guide to the subject, providing both the theoretical and practical guidance technologists need. Discover how cognitive computing evolved from promise to reality Learn the elements that make up a cognitive computing system Understand the groundbreaking hardware and software technologies behind cognitive computing Learn to evaluate your own application portfolio to find the best candidates for pilot projects Leverage cognitive computing capabilities to transform the organization Cognitive systems are rightly being hailed as the new era of computing. Learn how these technologies enable emerging firms to compete with entrenched giants, and forward-thinking established firms to disrupt their industries. Professionals who currently work with big data and analytics will see how cognitive computing builds on their foundation, and creates new opportunities. Cognitive Computing provides complete guidance to this new level of human-machine interaction.
Cognitive Computing and Big Data Analytics
by Judith S. Hurwitz Marcia Kaufman Adrian BowlesA comprehensive guide to learning technologies that unlock the value in big data Cognitive Computing provides detailed guidance toward building a new class of systems that learn from experience and derive insights to unlock the value of big data. This book helps technologists understand cognitive computing's underlying technologies, from knowledge representation techniques and natural language processing algorithms to dynamic learning approaches based on accumulated evidence, rather than reprogramming. Detailed case examples from the financial, healthcare, and manufacturing walk readers step-by-step through the design and testing of cognitive systems, and expert perspectives from organizations such as Cleveland Clinic, Memorial Sloan-Kettering, as well as commercial vendors that are creating solutions. These organizations provide insight into the real-world implementation of cognitive computing systems. The IBM Watson cognitive computing platform is described in a detailed chapter because of its significance in helping to define this emerging market. In addition, the book includes implementations of emerging projects from Qualcomm, Hitachi, Google and Amazon. Today's cognitive computing solutions build on established concepts from artificial intelligence, natural language processing, ontologies, and leverage advances in big data management and analytics. They foreshadow an intelligent infrastructure that enables a new generation of customer and context-aware smart applications in all industries. Cognitive Computing is a comprehensive guide to the subject, providing both the theoretical and practical guidance technologists need. Discover how cognitive computing evolved from promise to reality Learn the elements that make up a cognitive computing system Understand the groundbreaking hardware and software technologies behind cognitive computing Learn to evaluate your own application portfolio to find the best candidates for pilot projects Leverage cognitive computing capabilities to transform the organization Cognitive systems are rightly being hailed as the new era of computing. Learn how these technologies enable emerging firms to compete with entrenched giants, and forward-thinking established firms to disrupt their industries. Professionals who currently work with big data and analytics will see how cognitive computing builds on their foundation, and creates new opportunities. Cognitive Computing provides complete guidance to this new level of human-machine interaction.