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Cognition, Agency and Rationality: Proceedings of the Fifth International Colloquium on Cognitive Science (Philosophical Studies Series #79)
by XabierArrazola ErnestSosa KepaKortaAs usual, the Proceedings of the International Colloquium on Cognitive Science include leading-edge work by outstanding researchers in the field. This volume contains three kinds of papers corresponding to three of the main disciplines in cognitive science: philosophy, psychology, and artificial intelligence. The title - Cognition, Agency and Rationality - captures the main issues addressed by the papers. Of course, all are concerned with cognition, but some are especially centred on the very concept of rationality, while others focus on (multiple) agency. The diversity of their disciplinary origins and standpoints not only reflects the main topics and the range of different positions presented at ICCS-97, as well as demonstrating the richness, fruitfulness and diversity of research in cognitive science today.
Cognition and Recognition: 8th International Conference, ICCR 2021, Mandya, India, December 30–31, 2021, Revised Selected Papers (Communications in Computer and Information Science #1697)
by D. S. Guru Sharath Kumar Y. H. Balakrishna K. R. K. Agrawal Manabu IchinoThis volume constitutes the refereed proceedings of the Eighth International Conference on Cognition and Recognition, ICCR 2021, held in Mandya, India, in December 2021.The 24 full papers and 9 short papers presented were carefully reviewed and selected from 150 submissions. The ICCR conference aims to bring together leading academic Scientists, Researchers and Research scholars to exchange and share their experiences and research results on all aspects of Computer Vision, Image Processing Machine Learning and Deep Learning Technologies.
Cognition and the Creative Machine: Cognitive AI for Creative Problem Solving
by Ana-Maria OltețeanuHow would you assemble a machine that can be creative, what would its cogs be? Starting from how humans do creative problem solving, the author has developed a framework to explore whether a diverse set of creative problem-solving tasks can be solved computationally using a unified set of principles. In this book she describes the implementation of related prototype AI systems, and the computational and empirical experiments conducted.The book will be of interest to researchers, graduate students, and laypeople engaged with ideas in artificial intelligence, cognitive science, and creativity.
Cognition Beyond the Brain: Computation, Interactivity and Human Artifice
by Stephen J. Cowley Frédéric Vallée-TourangeauThis book challenges neurocentrism by advocating a systemic view of cognition based on investigating how action shapes the experience of thinking, placing interactivity at its heart. This systemic viewpoint makes three main claims. First, that many elaborate cognitive skills like language, problem solving and human-computer interaction (HCI) are based in sense-saturated coordination or interactivity. Second, interactivity produces a tightly woven scaffold of resources, some internal to the agent and others external, that elevates and transforms thinking. Third, human agents entwine brains, bodies and their surroundings as they manage multi-scalar dynamics.This new edition continues to demonstrate how a systemic perspective casts a productive light on thinking in applied domains such as crime scene analysis, the use of information technology in construction, and computer-meditated trusts and presents new studies on the cognitive ecology of the web, multi-scalar temporal and organisational cognition and the importance of interactive material engagement in digital architecture. Authors use various scales of the systemic viewpoint to illustrate how bodies and artefacts shape thinking, but in all cases the experience of materiality is meshed with activity that involves the world beyond the body.Cognition Beyond the Brain is a valuable reference for researchers, practitioners and graduate students within the fields of Computer Science, Psychology, Linguistics and Cognitive Sciences.
Cognition Beyond the Brain: Computation, Interactivity and Human Artifice
by Stephen J. Cowley and Frédéric Vallée-TourangeauCognition Beyond the Brain challenges neurocentrism by advocating a systemic view of cognition based on investigating how action shapes the experience of thinking. The systemic view steers between extended functionalism and enactivism by stressing how living beings connect bodies, technologies, language and culture. Since human thinking depends on a cultural ecology, people connect biologically-based powers with extended systems and, by so doing, they constitute cognitive systems that reach across the skin. Biological interpretation exploits extended functional systems.Illustrating distributed cognition, one set of chapters focus on computer mediated trust, work at a construction site, judgement aggregation and crime scene investigation. Turning to how bodies manufacture skills, the remaining chapters focus on interactivity or sense-saturated coordination. The feeling of doing is crucial to solving maths problems, learning about X rays, finding an invoice number, or launching a warhead in a film. People both participate in extended systems and exert individual responsibility. Brains manufacture a now to which selves are anchored: people can act automatically or, at times, vary habits and choose to author actions. In ontogenesis, a systemic view permits rationality to be seen as gaining mastery over world-side resources. Much evidence and argument thus speaks for reconnecting the study of computation, interactivity and human artifice. Taken together, this can drive a networks revolution that gives due cognitive importance to the perceivable world that lies beyond the brain.Cognition Beyond the Brain is a valuable reference for researchers, practitioners and graduate students within the fields of Computer Science, Psychology, Linguistics and Cognitive Science.
Cognition, Communication and Interaction: Transdisciplinary Perspectives on Interactive Technology (Human–Computer Interaction Series)
by Satinder P. GillThis book examines the theoretical and methodological research issues that underlie the design and use of interactive technology. The analysis directs attention to three human capacities: cognition, communication and interaction. The examination of these capacities is embedded in understanding concepts of communication and interaction and their application; conceptions of knowledge and cognition; and the role of aesthetics and ethics in design.
Cognition-Driven Decision Support for Business Intelligence: Models, Techniques, Systems and Applications (Studies in Computational Intelligence #238)
by Li Niu Jie Lu Guangquan ZhangCognition-driven decision support system (DSS) has been recognized as a paradigm in the research and development of business intelligence (BI). Cognitive decision support aims to help managers in their decision making from human cognitive aspects, such as thinking, sensing, understanding and predicting, and fully reuse their experience. Among these cognitive aspects, decision makers’ situation awareness (SA) and mental models are considered to be two important prerequisites for decision making, particularly in ill-structured and dynamic decision situations with uncertainties, time pressure and high personal stake. In today’s business domain, decision making is becoming increasingly complex. To make a successful decision, managers’ SA about their business environments becomes a critical factor. This book presents theoretical models as well practical techniques of cognitiondriven DSS. It first introduces some important concepts of cognition orientation in decision making process and some techniques in related research areas including DSS, data warehouse and BI, offering readers a preliminary for moving forward in this book. It then proposes a cognition-driven decision process (CDDP) model which incorporates SA and experience (mental models) as its central components. The goal of the CDDP model is to facilitate cognitive decision support to managers on the basis of BI systems. It also presents relevant techniques developed to support the implementation of the CDDP model in a BI environment. Key issues addressed of a typical business decision cycle in the CDDP model include: natural language interface for a manager’s SA input, extraction of SA semantics, construction of data warehouse queries based on the manger’s SA and experience, situation information retrieval from data warehouse, how the manager perceives situation information and update SA, how the manager’s SA leads to a final decision. Finally, a cognition-driven DSS, FACETS, and two illustrative applications of this system are discussed.
Cognition, Education, and Communication Technology
by Peter Gärdenfors Petter JohanssonCognition, Education, and Communication Technology presents some of the recent theoretical developments in the cognitive and educational sciences and implications for the use of information and communication technology (ICT) in the organization of school and university education. Internationally renowned researchers present theoretical perspectives with proposals for and evaluations of educational practices. Each chapter discusses different aspects of the use of ICT in education, including:*the role of perceptual processes in learning;*external cognition as support for interactive learning;*the role of meta-cognition;*simulation learning environments as cognitive tools;*the role of science controversy for knowledge integration;*the use of ICT in the development of educators; and*the role of narratives in education.ICT has great potential for revolutionizing education. Large investments of resources are being made, often without a strong understanding of how ICT will or should be implemented. The expectation is that students will show immediate improvements in terms of their motivation to learn and their learning achievements, but reality is different. Progress of ICT in education requires more than just computers in the classroom. It demands an understanding of the complex processes contributing to human learning and how they interact with new technologies. This text provides theoretical perspectives on the learning processes that can be used as a foundation for constructing pedagogically valuable tools based on ICT.The combination of results--from cognitive science and pedagogy, with more practically oriented suggestions for how ICT can be used in various forms of education--makes this book suitable for researchers and students in the cognitive and educational sciences, as well as for practitioners and planners of education.
Cognition, Education, and Communication Technology
by Peter Gardenfors Petter JohanssonCognition, Education, and Communication Technology presents some of the recent theoretical developments in the cognitive and educational sciences and implications for the use of information and communication technology (ICT) in the organization of school and university education. Internationally renowned researchers present theoretical perspectives with proposals for and evaluations of educational practices. Each chapter discusses different aspects of the use of ICT in education, including:*the role of perceptual processes in learning;*external cognition as support for interactive learning;*the role of meta-cognition;*simulation learning environments as cognitive tools;*the role of science controversy for knowledge integration;*the use of ICT in the development of educators; and*the role of narratives in education.ICT has great potential for revolutionizing education. Large investments of resources are being made, often without a strong understanding of how ICT will or should be implemented. The expectation is that students will show immediate improvements in terms of their motivation to learn and their learning achievements, but reality is different. Progress of ICT in education requires more than just computers in the classroom. It demands an understanding of the complex processes contributing to human learning and how they interact with new technologies. This text provides theoretical perspectives on the learning processes that can be used as a foundation for constructing pedagogically valuable tools based on ICT.The combination of results--from cognitive science and pedagogy, with more practically oriented suggestions for how ICT can be used in various forms of education--makes this book suitable for researchers and students in the cognitive and educational sciences, as well as for practitioners and planners of education.
Cognition in 3E: Multidisciplinary Perspectives (Studies in Applied Philosophy, Epistemology and Rational Ethics #56)
by Tommaso BertolottiThis book originated at a workshop by the same name held in May 2018 at the University of Pavia. The aim was to encourage a cross-disciplinary discussion on the limits of cognition. When venturing into cognitive science, notwithstanding the approach, one of the first riddles to be solved is the definition of cognition. Any definition immediately sparks the ascription debate: who/what cognizes? Definitions may appear either too loose, or too demanding. Are bacteria included? What about plants? Is it a human prerogative? We engage in the quest for artificial intelligence, but is artificial cognition already the case? And if it was a human prerogative, are we doing it all the time? Is cognition a process, or the sum of countless sub processes? Is it in the brain, or also in the body? Or does it go beyond the body? Where does it start? Where does it end? We tried answering these questions each from our own perspectives, as philosophers, ethnographers, psychologists and rhetoricians, handing each other our peculiar insight.
Cognition, Semantics and Philosophy: Proceedings of the First International Colloqium on Cognitive Science (Philosophical Studies Series #52)
by Jesús M. Larrazabal JesúsEzquerroTHE PLACE OF PHILOSOPHY IN COGNITIVE SCIENCE During the last few years, many books have been published and many meetings have been held on Cognitive Science. A cursory review of their contents shows such a diversity of topics and approaches that one might well infer that there are no genuine criteria for classifying a paper or a lecture as a contribution to Cognitive Science. It is as though the only criterion is to have appeared in a book or in the programme of a meeting or title we can find the expression " . . . Cognitive Science" in whose name or something like that. Perhaps this situation is due to the (relative) youth of the field, which is seeking its own identity, still involved in a process of formation and consolidation within the scientific community; but there are actually deep disagreements about how a science of the mind should be worked out, including how to understand its own subject, that is, "the mind. "While for some the term makes reference to a set of phenomena impossible to grasp by any scientific approach, for others "the mind" would be a sort of myth, and the mental terms await elimination by other more handy and empirically tractable terms.
Cognitive Agent-based Computing-I: A Unified Framework for Modeling Complex Adaptive Systems using Agent-based & Complex Network-based Methods (SpringerBriefs in Cognitive Computation)
by Muaz A Niazi Amir HussainComplex Systems are made up of numerous interacting sub-components. Non-linear interactions of these components or agents give rise to emergent behavior observable at the global scale. Agent-based modeling and simulation is a proven paradigm which has previously been used for effective computational modeling of complex systems in various domains. Because of its popular use across different scientific domains, research in agent-based modeling has primarily been vertical in nature. The goal of this manuscript is to provide a single hands-on guide to developing cognitive agent-based models for the exploration of emergence across various types of complex systems. We present practical ideas and examples for researchers and practitioners for the building of agent-based models using a horizontal approach - applications are demonstrated in a number of exciting domains as diverse as wireless sensors networks, peer-to-peer networks, complex social systems, research networks, epidemiological HIV
Cognitive Agents for Virtual Environments: First International Workshop, CAVE 2012, Held at AAMAS 2012, Valencia, Spain, June 4, 2012, Revised Selected Papers (Lecture Notes in Computer Science #7764)
by Frank Dignum Cyril Brom Koen V. Hindriks Martin Beer Deborah RichardsThis book constitutes the refereed post-proceedings of the First International Workshop on Cognitive Agents for Virtual Environments, CAVE 2012, held at AAMAS 2012, in Valencia, Spain, in June 2012. The 10 full papers presented were thoroughly reviewed and selected from 14 submissions. In addition one invited high quality contribution has been included. The papers are organized in the following topical sections: coupling agents and game engines; using games with agents for education; visualization and simulation; and evaluating games with agents.
Cognitive and Behavioral Performance Factors in Atypical Aging
by Mark L. Howe Michael J. Stones Charles J. BrainerdIt is a truism that as we age there are a number of underlying physiological changes conspiring to alter our level of behavioral and cognitive function ing. Despite the inherent interrelatedness of these behavioral and cognitive changes, all too often the papers we read confine themselves to specific, isolated components of the developing process. Although exceptions nat urally exist, we believe that these exceptions should become rule. Although an integrated approach is important in all areas of adult devel opment, it is perhaps particularly germane in the study of atypical aging. Here, changes in overall functioning can occur in rapid succession, with the synchrony of decline between different subprocesses making it difficult to factor changes in one process from changes in another. For example, because changes in cognitive functioning co-occur with other dramatic changes in (motoric) response capacities, it is unclear how one can effec tively study changes in the ability to cognize independent of changes in the very mechanisms (ability to execute motor sequences) so often used to index cognitive performance.
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.