Advertisement
| cognitive science and artificial intelligence: Minds, Brains, and Computers Ralph Morelli, 1992 The basic questions addressed in this book are: what is the computational nature of cognition, and what role does it play in language and other mental processes?; What are the main characteristics of contemporary computational paradigms for describing cognition and how do they differ from each other?; What are the prospects for building cognition and how do they differ from each other?; and what are the prospects for building an artificial intelligence? |
| cognitive science and artificial intelligence: Cognitive Science and Artificial Intelligence Sasikumar Gurumoorthy, Bangole Narendra Kumar Rao, Xiao-Zhi Gao, 2017-12-22 This book presents interdisciplinary research on cognition, mind and behavior from an information processing perspective. It includes chapters on Artificial Intelligence, Decision Support Systems, Machine Learning, Data Mining and Support Vector Machines, chiefly with regard to the data obtained and analyzed in Medical Informatics, Bioinformatics and related disciplines. The book reflects the state-of-the-art in Artificial Intelligence and Cognitive Science, and covers theory, algorithms, numerical simulation, error and uncertainty analysis, as well novel applications of new processing techniques in Biomedical Informatics, Computer Science and its applied areas. As such, it offers a valuable resource for students and researchers from the fields of Computer Science and Engineering in Medicine and Biology. |
| cognitive science and artificial intelligence: Readings in Cognitive Science Allan Collins, Edward E. Smith, 2013-10-02 Readings in Cognitive Science: A Perspective from Psychology and Artificial Intelligence brings together important studies that fall in the intersection between artificial intelligence and cognitive psychology. This book is composed of six chapters, and begins with the complex anatomy and physiology of the human brain. The next chapters deal with the components of cognitive science, such as the semantic memory, similarity and analogy, and learning. These chapters also consider the application of mental models, which represent the domain-specific knowledge needed to understand a dynamic system or natural physical phenomena. The remaining chapters discuss the concept of reasoning, problem solving, planning, vision, and imagery. This book is of value to psychologists, psychiatrists, neurologists, and researchers who are interested in cognition. |
| cognitive science and artificial intelligence: Artificial Intelligence D. Sleeman, N. O. Bernsen, 2019-12-06 Originally published in 1992, this title reviews seven major subareas in artificial intelligence at that time: knowledge acquisition; logic programming and representation; machine learning; natural language; vision; the design of an AI programming environment; and medicine, a major application area of AI. This volume was an attempt primarily to inform fellow AI workers of recent European work in AI. It was hoped that researchers in ‘sister’ disciplines, such as computer science and linguistics would gain a deeper understanding of the assumptions, techniques and tools of contemporary AI. |
| cognitive science and artificial intelligence: Mind as Machine Margaret A. Boden, 2006 Cognitive science is among the most fascinating intellectual achievements of the modern era. The quest to understand the mind is an ancient one. But modern science has offered new insights and techniques that have revolutionized this enquiry. Oxford University Press now presents a masterlyhistory of the field, told by one of its most eminent practitioners.Psychology is the thematic heart of cognitive science, which aims to understand human (and animal) minds. But its core theoretical ideas are drawn from cybernetics and artificial intelligence, and many cognitive scientists try to build functioning models of how the mind works. In that sense,Margaret Boden suggests, its key insight is that mind is a (very special) machine. Because the mind has many different aspects, the field is highly interdisciplinary. It integrates psychology not only with cybernetics/AI, but also with neuroscience and clinical neurology; with the philosophy ofmind, language, and logic; with linguistic work on grammar, semantics, and communication; with anthropological studies of cultures; and with biological (and A-Life) research on animal behaviour, evolution, and life itself. Each of these disciplines, in its own way, asks what the mind is, what itdoes, how it works, how it develops---and how it is even possible.Boden traces the key questions back to Descartes's revolutionary writings, and to the ideas of his followers--and his radical critics--through the eighteenth and nineteenth centuries. Her story shows how controversies in the development of experimental physiology, neurophysiology, psychology,evolutionary biology, embryology, and logic are still relevant today. Then she guides the reader through the complex interlinked paths along which the study of mind developed in the twentieth century. Cognitive science covers all mental phenomena: not just 'cognition' (knowledge), but also emotion,personality, psychopathology, social communication, religion, motor action, and consciousness. In each area, Boden introduces the key ideas and researchers and discusses those philosophical critics who see cognitive science as fundamentally misguided. And she sketches the waves of resistance andacceptance on the part of the media and general public, showing how these have affected the development of the field.No one else could tell this story as Boden can: she has been a member of the cognitive science community since the late-1950s, and has known many of its key figures personally. Her narrative is written in a lively, swift-moving style, enriched by the personal touch of someone who knows the story atfirst hand. Her history looks forward as well as back: besides asking how state-of-the-art research compares with the hopes of the early pioneers, she identifies the most promising current work. Mind as Machine will be a rich resource for anyone working on the mind, in any academic discipline, whowants to know how our understanding of mental capacities has advanced over the years. |
| cognitive science and artificial intelligence: Modern Approaches in Machine Learning and Cognitive Science: A Walkthrough Vinit Kumar Gunjan, Jacek M. Zurada, 2021-04-26 This book provides a systematic and comprehensive overview of machine learning with cognitive science methods and technologies which have played an important role at the core of practical solutions for a wide scope of tasks between handheld apps, industrial process control, autonomous vehicles, environmental policies, life sciences, playing computer games, computational theory, and engineering development. The chapters in this book focus on readers interested in machine learning, cognitive and neuro-inspired computational systems – theories, mechanisms, and architecture, which underline human and animal behaviour, and their application to conscious and intelligent systems. In the current version, it focuses on the successful implementation and step-by-step explanation of practical applications of the domain. It also offers a wide range of inspiring and interesting cutting-edge contributions to applications of machine learning and cognitive science such as healthcare products, medical electronics, and gaming. Overall, this book provides valuable information on effective, cutting-edge techniques and approaches for students, researchers, practitioners, and academicians working in the field of AI, neural network, machine learning, and cognitive science. Furthermore, the purpose of this book is to address the interests of a broad spectrum of practitioners, students, and researchers, who are interested in applying machine learning and cognitive science methods in their respective domains. |
| cognitive science and artificial intelligence: Bridging the Gap Between AI, Cognitive Science, and Narratology With Narrative Generation Ogata, Takashi, Ono, Jumpei, 2020-09-25 The use of cognitive science in creating stories, languages, visuals, and characters is known as narrative generation, and it has become a trending area of study. Applying artificial intelligence (AI) techniques to story development has caught the attention of professionals and researchers; however, few studies have inherited techniques used in previous literary methods and related research in social sciences. Implementing previous narratology theories to current narrative generation systems is a research area that remains unexplored. Bridging the Gap Between AI, Cognitive Science, and Narratology With Narrative Generation is a collection of innovative research on the analysis of current practices in narrative generation systems by combining previous theories in narratology and literature with current methods of AI. The book bridges the gap between AI, cognitive science, and narratology with narrative generation in a broad sense, including other content generation, such as a novels, poems, movies, computer games, and advertisements. The book emphasizes that an important method for bridging the gap is based on designing and implementing computer programs using knowledge and methods of narratology and literary theories. In order to present an organic, systematic, and integrated combination of both the fields to develop a new research area, namely post-narratology, this book has an important place in the creation of a new research area and has an impact on both narrative generation studies, including AI and cognitive science, and narrative studies, including narratology and literary theories. It is ideally designed for academicians, researchers, and students, as well as enterprise practitioners, engineers, and creators of diverse content generation fields such as advertising production, computer game creation, comic and manga writing, and movie production. |
| cognitive science and artificial intelligence: AI and Cognitive Science ’90 Michael F. McTear, 1991-05-29 Papers presented at the 3rd Irish Conference on Artificial Intelligence and Cognitive Science. |
| cognitive science and artificial intelligence: Foundational Issues in Artificial Intelligence and Cognitive Science M.H. Bickhard, L. Terveen, 1996-10-15 The book focuses on a conceptual flaw in contemporary artificial intelligence and cognitive science. Many people have discovered diverse manifestations and facets of this flaw, but the central conceptual impasse is at best only partially perceived. Its consequences, nevertheless, visit themselves as distortions and failures of multiple research projects - and make impossible the ultimate aspirations of the fields. The impasse concerns a presupposition concerning the nature of representation - that all representation has the nature of encodings: encodingism. Encodings certainly exist, but encodingism is at root logically incoherent; any programmatic research predicted on it is doomed too distortion and ultimate failure. The impasse and its consequences - and steps away from that impasse - are explored in a large number of projects and approaches. These include SOAR, CYC, PDP, situated cognition, subsumption architecture robotics, and the frame problems - a general survey of the current research in AI and Cognitive Science emerges. Interactivism, an alternative model of representation, is proposed and examined. |
| cognitive science and artificial intelligence: Artificial Intelligence and Creativity T. Dartnall, 1994-08-31 Creativity is one of the least understood aspects of intelligence and is often seen as `intuitive' and not susceptible to rational enquiry. Recently, however, there has been a resurgence of interest in the area, principally in artificial intelligence and cognitive science, but also in psychology, philosophy, computer science, logic, mathematics, sociology, and architecture and design. This volume brings this work together and provides an overview of this rapidly developing field. It addresses a range of issues. Can computers be creative? Can they help us to understand human creativity? How can artificial intelligence (AI) enhance human creativity? How, in particular, can it contribute to the `sciences of the artificial', such as design? Does the new wave of AI (connectionism, geneticism and artificial life) offer more promise in these areas than classical, symbol-handling AI? What would the implications be for AI and cognitive science if computers could not be creative? These issues are explored in five interrelated parts, each of which is introducted and explained by a leading figure in the field. - Prologue (Margaret Boden) - Part I: Foundational Issues (Terry Dartnall) - Part II: Creativity and Cognition (Graeme S. Halford and Robert Levinson) - Part III: Creativity and Connectionism (Chris Thornton) - Part IV: Creativity and Design (John Gero) - Part V: Human Creativity Enhancement (Ernest Edmonds) - Epilogue (Douglas Hofstadter) For researchers in AI, cognitive science, computer science, philosophy, psychology, mathematics, logic, sociology, and architecture and design; and anyone interested in the rapidly growing field of artificial intelligence and creativity. |
| cognitive science and artificial intelligence: Dictionary of Cognitive Science Olivier Houdé, Daniel Kayser, Olivier Koenig, Joëlle Proust, François Rastier, 2004-03 Presents comprehensive definitions in more than 120 subjects. Topics range from 'Abduction' to 'Writing' within the domains of psychology, artificial intelligence, neuroscience, philosophy, and linguistics. |
| cognitive science and artificial intelligence: AI and Cognitive Science '90 Michael McTear, Norman Creaney, 1991 |
| cognitive science and artificial intelligence: Modern Approaches in Machine Learning and Cognitive Science: A Walkthrough Vinit Kumar Gunjan, Jacek M. Zurada, Balasubramanian Raman, G. R. Gangadharan, 2020-02-04 This book discusses various machine learning & cognitive science approaches, presenting high-throughput research by experts in this area. Bringing together machine learning, cognitive science and other aspects of artificial intelligence to help provide a roadmap for future research on intelligent systems, the book is a valuable reference resource for students, researchers and industry practitioners wanting to keep abreast of recent developments in this dynamic, exciting and profitable research field. It is intended for postgraduate students, researchers, scholars and developers who are interested in machine learning and cognitive research, and is also suitable for senior undergraduate courses in related topics. Further, it is useful for practitioners dealing with advanced data processing, applied mathematicians, developers of software for agent-oriented systems and developers of embedded and real-time systems. |
| cognitive science and artificial intelligence: Machine Learning and Cognitive Science Applications in Cyber Security Khan, Muhammad Salman, 2019-05-15 In the past few years, with the evolution of advanced persistent threats and mutation techniques, sensitive and damaging information from a variety of sources have been exposed to possible corruption and hacking. Machine learning, artificial intelligence, predictive analytics, and similar disciplines of cognitive science applications have been found to have significant applications in the domain of cyber security. Machine Learning and Cognitive Science Applications in Cyber Security examines different applications of cognition that can be used to detect threats and analyze data to capture malware. Highlighting such topics as anomaly detection, intelligent platforms, and triangle scheme, this publication is designed for IT specialists, computer engineers, researchers, academicians, and industry professionals interested in the impact of machine learning in cyber security and the methodologies that can help improve the performance and reliability of machine learning applications. |
| cognitive science and artificial intelligence: Artificial Intelligence and Cognitive Science Andy Clark, 1998 |
| cognitive science and artificial intelligence: Cognitive Design for Artificial Minds Antonio Lieto, 2021-03-31 Cognitive Design for Artificial Minds explains the crucial role that human cognition research plays in the design and realization of artificial intelligence systems, illustrating the steps necessary for the design of artificial models of cognition. It bridges the gap between the theoretical, experimental, and technological issues addressed in the context of AI of cognitive inspiration and computational cognitive science. Beginning with an overview of the historical, methodological, and technical issues in the field of cognitively inspired artificial intelligence, Lieto illustrates how the cognitive design approach has an important role to play in the development of intelligent AI technologies and plausible computational models of cognition. Introducing a unique perspective that draws upon Cybernetics and early AI principles, Lieto emphasizes the need for an equivalence between cognitive processes and implemented AI procedures, in order to realize biologically and cognitively inspired artificial minds. He also introduces the Minimal Cognitive Grid, a pragmatic method to rank the different degrees of biological and cognitive accuracy of artificial systems in order to project and predict their explanatory power with respect to the natural systems taken as a source of inspiration. Providing a comprehensive overview of cognitive design principles in constructing artificial minds, this text will be essential reading for students and researchers of artificial intelligence and cognitive science. |
| cognitive science and artificial intelligence: Artificial Intelligence and Cognitive Science Lorcan Coyle, Jill Freyne, 2010-11-02 This book constitutes the refereed proceedings of the 20th Irish Conference on Artificial Intelligence and Cognitive Science, AICS 2009, held in Dublin, Ireland in August 2009. The 32 papers presented were carefully reviewed and selected for inclusion in the book. The topics covered are classification techniques, biologically-inspired computation, natural language processing, and applications of AI techniques for the social Web and financial markets. |
| cognitive science and artificial intelligence: Artificial Intelligence and Cognitive Science Michael O'Neill, Richard F.E. Sutcliffe, Conor Ryan, Malachy Eaton, 2003-08-02 This book constitutes the refereed proceedings of the 13th Irish International Conference on Artificial Intelligence and Cognitive Science, AICS 2002, held in Limerick, Ireland in September 2002.The 16 revised full papers and 17 revised short papers presented were carefully reviewed and selected for inclusion in the book. Among the topics addressed are cognitive modeling, case-based reasoning, constraint processing, data mining, evolutionary computation, intelligent agents, information retrieval, knowledge representation, reasoning, machine learning, natural language processing, neural networks, perception, AI planning, robotics, and scheduling. |
| cognitive science and artificial intelligence: Ethical Artificial Intelligence from Popular to Cognitive Science Jordan Richard Schoenherr, 2022-06-24 This book offers a unique interdisciplinary perspective on the ethics of 'artificial intelligence' – autonomous, intelligent, (and connected) systems, or AISs, applying principles of social cognition to understand the social and ethical issues associated with the creation, adoption, and implementation of AISs. As humans become entangled in sociotechnical systems defined by human and artificial agents, there is a pressing need to understand how trust is created, used, and abused. Compounding the difficulty in answering these questions, stakeholders directly or indirectly affected by these systems differ in their motivations, understanding, and values. This volume provides a comprehensive resource to help stakeholders understand ethical issues of designing and implementing AISs using an ethical sensemaking approach. Starting with the general technical affordances of AIS, Dr. Jordan Richard Schoenherr considers the features of system design relating data integrity, selection and interpretation of algorithms, and the evolution processes that drive AISs innovation as a sociotechnological system. The poles of technophobia (algorithmic aversion) and technophilia (algorithmic preference) in the public perception of AISs are then described and considered against existing evidence, including issues ranging from the displacement and re-education needs of the human workforce, the impact of use of technology on interpersonal accord, and surveillance and cybersecurity. Ethical frameworks that provide tools for evaluating the values and outcomes of AISs are then reviewed, and how they can be aligned with ethical sensemaking processes identified by psychological science is explored. Finally, these disparate threads are brought together in a design framework. Also including sections on policies and guideline, gaming and social media, and Eastern philosophical frameworks, this is fascinating reading for students and academics in psychology, computer science, philosophy, and related areas, as well as professionals such as policy makers and those working with AI systems. |
| cognitive science and artificial intelligence: Artificial Intelligence in Psychology Margaret A. Boden, 1989 This collection of Margaret Boden's essays written between 1982 and 1988 focuses on the relevance of artificial intelligence to psychology. With her usual clarity and eye for the key role that each discipline plays in the science of the mind, Boden ties the essays together in a thorough synoptic overview. She outlines the various approaches, from Babbage's contributions, through the work of Turing and von Neumann, to the latest theories of parallel processing, and the questions that researchers in AI and psychology must ask to ascertain if there might be a discipline termed computational psychology Many theoretical psychologists today believe that the science of artificial intelligence can include all of the phenomena generated by the human mind. This functionalist approach views the mind as a representational system and psychology as the study of the various computational processes whereby mental representations are constructed, organized, and interpreted. Disagreements abound, however, about how various psychological phenomena can be explained in computational terms; there is disagreement, too, about which AI concepts and which of the computermodeling methodologies will prove most useful from the psychologist's point of view. All of these issues are raised and clearly investigated here. The essays include Fashions of Mind; Is Computational Psychology Constructivist? Does Artificial Intelligence Need Artificial Brains? Intentionality and Physical Systems; Escaping from the Chinese Room; Is Equilibration Important? Artificial Intelligence and Biological Intelligence. Educational Implications of Artificial Intelligence. Margaret A Boden is Professor of Philosophy and Psychology, and Founding Dean of the School of Cognitive Sciences at the University of Sussex. Artificial Intelligence in Psychology is included in the series Explorations in Cognitive Science, A Bradford Book |
| cognitive science and artificial intelligence: What is Cognitive Science? Barbara Von Eckardt, 1995 In a richly detailed analysis, Von Eckardt (philosophy, U. of Nebraska) lays the foundation for understanding what it means to be a cognitive scientist. She characterizes the basic assumptions that define the cognitive science approach and systematically sorts out a host of recent issues and controversies surrounding them. Annotation copyright by Book News, Inc., Portland, OR |
| cognitive science and artificial intelligence: Readings in Cognitive Science Allan Collins, Edward E. Smith, 1988 |
| cognitive science and artificial intelligence: Reconstructing the Cognitive World Michael Wheeler, 2005 An argument for a non-Cartesian philosophical foundation for cognitive science that combines elements of Heideggerian phenomenology, a dynamical systems approach to cognition, and insights from artificial intelligence-related robotics. |
| cognitive science and artificial intelligence: AI Margaret A. Boden, 2016-05-19 The applications of Artificial Intelligence lie all around us; in our homes, schools and offices, in our cinemas, in art galleries and - not least - on the Internet. The results of Artificial Intelligence have been invaluable to biologists, psychologists, and linguists in helping to understand the processes of memory, learning, and language from a fresh angle. As a concept, Artificial Intelligence has fuelled and sharpened the philosophical debates concerning the nature of the mind, intelligence, and the uniqueness of human beings. Margaret A. Boden reviews the philosophical and technological challenges raised by Artificial Intelligence, considering whether programs could ever be really intelligent, creative or even conscious, and shows how the pursuit of Artificial Intelligence has helped us to appreciate how human and animal minds are possible. |
| cognitive science and artificial intelligence: The Computer and the Mind Philip Nicholas Johnson-Laird, 1988 Computing Methodologies -- Artificial Intelligence. |
| cognitive science and artificial intelligence: Cognition and the Creative Machine Ana-Maria Oltețeanu, 2020-05-23 How 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. |
| cognitive science and artificial intelligence: Cognitive Science and the Mind-Body Problem Morton Wagman, 1998-03-25 A scholarly examination of the centrality of the mind-body problem within and across the science of cognition—from philosophy to psychology to artificial intelligence to neural science. Conceptions of the mind-body problem range from the heritage of Cartesianism to the identification of the circumscribed brain structures responsible for domain specific cognitive mechanisms. Neither narrowly technical nor philosophically vague, this is a structured and detailed account of advancing intellectual developments in theory, research, and knowledge illumined by the conceptual vicissitudes of the mind-body problem. This unique treatment will be of special interest to creative scholars in the disciplines of he sciences of cognition. |
| cognitive science and artificial intelligence: The Age of Artificial Intelligence: An Exploration Steven S. Gouveia, 2020-07-07 With worldwide spending estimates of over $97 billion by 2023, it is no surprise that Artificial Intelligence (A.I.) is one of the hottest topics at present in both the private and public spheres. Comprising of vital contributions from the most influential researchers in the field, including Daniel Dennett, Roman V. Yampolskiy, Frederic Gilbert, Stevan Harnad, David Pearce, Natasha Vita-More, Vernon Vinge and Ben Goertzel, ‘The Age of Artificial Intelligence: An Exploration’ discusses a variety of topics ranging from the various ethical issues associated with A.I. based technologies in terms of morality and law to subjects related to artificial consciousness, artistic creativity and intelligence. The volume is organized as follows: Section I is dedicated to reflections on the Intelligence of A.I., with chapters by Soenke Ziesche and Roman V. Yampolskiy, Stevan Harnad, Daniel Dennett and David Pearce. Next, Section II discusses the relationship between consciousness, simulation and artificial intelligence, with chapters by Gabriel Axel Montes and Ben Goertzel, Cody Turner, Nicole Hall and Steven S. Gouveia. Section III, dedicated to aesthetical creativity and language in artificial intelligence, includes chapters by Caterina Moruzzi, René Mogensen, Mariana Chinellato Ferreira and Kulvinder Panesar. The subsequent Section IV is on the Ethics of the Bionic Brain with the participation of Peter A. DePergola II, Tomislav Miletić and Frederic Gilbert, Aníbal M. Astobiza, Txetxu Ausin, Ricardo M. Ferrer and Stephen Rainey and Natasha Vita-More. Finally, Section V follows on the Ethics of Artificial Intelligence with chapters by Federico Pistono and Roman V. Yamploskiy, Hasse Hämäläinen, Vernon Vinge and Eray Özkural. The Age of Artificial Intelligence is imminent, if not here already. We should ensure that we invest in the right people and the right ideas to create the best possible solutions to the problems of the present and prepare for those of the future. This edited volume will be of particular interest to researchers in the field of A.I. as well of those in Cognitive Science (Philosophy of the Mind, Neuroscience, and Linguistics), Aesthetics and Arts, Applied Ethics and Political Philosophy / Law. Students studying the aforementioned topics can also benefit from its contents. |
| cognitive science and artificial intelligence: Modern Approaches in Machine Learning and Cognitive Science Vinit Kumar Gunjan, Jacek M. Zurada, Balasubramanian Raman, G. R. Gangadharan, 2020 This book discusses various machine learning & cognitive science approaches, presenting high-throughput research by experts in this area. Bringing together machine learning, cognitive science and other aspects of artificial intelligence to help provide a roadmap for future research on intelligent systems, the book is a valuable reference resource for students, researchers and industry practitioners wanting to keep abreast of recent developments in this dynamic, exciting and profitable research field. It is intended for postgraduate students, researchers, scholars and developers who are interested in machine learning and cognitive research, and is also suitable for senior undergraduate courses in related topics. Further, it is useful for practitioners dealing with advanced data processing, applied mathematicians, developers of software for agent-oriented systems and developers of embedded and real-time systems. |
| cognitive science and artificial intelligence: Intelligence Science Zhongzhi Shi, 2012-03-26 Intelligence Science is an interdisciplinary subject dedicated to joint research on basic theory and technology of intelligence by brain science, cognitive science, artificial intelligence and others. Brain science explores the essence of brain research on the principle and model of natural intelligence at the molecular, cell and behavior level. Cognitive science studies human mental activity, such as perception, learning, memory, thinking, consciousness etc. In order to implement machine intelligence, artificial intelligence attempts simulation, extension and expansion of human intelligence using artificial methodology and technology. Research scientists from the above three disciplines work together to explore new concepts, new theories, and methodologies.This book will introduce the concept and methodology of intelligence science systematically. The whole book is divided into 18 chapters altogether. It can be regarded as a textbook in courses of intelligence science, cognitive science, cognitive informatics etc. for senior and graduate students. It has important reference value for researchers engaged in fields such as intelligence science, brain science, cognitive science, neural science, artificial intelligence, psychology and so on. |
| cognitive science and artificial intelligence: Cognitive Psychology and Artificial Intelligence Morton Wagman, 1993-02-28 The nature of cognition is examined by the methods of experimental cognitive psychology and the theoretical models of computational psychology. First explained is the nature and objectives of artificial intelligence, symbolic and connectionist paradigms, the architecture of cognition, and characteristics of a general theory of intelligence. Wagman then examines theory and research in human reasoning and reasoning systems. Experimental research in deductive and inductive reasoning, the nature of artificial intelligence reasoning systems, nonmonotonic and common-sense reasoning, and general types of reasoning in artificial intelligence are examined. Next the author examines the nature of human problem solving and problem-solving systems. Problem representation methods and their duplication by artificial intelligence is discussed at length. Concepts and research in human learning and learning systems are also reviewed, as are the nature of human expertise and expert systems. Major characteristics of expertise including deep knowledge, reasoning strategies, and pattern recognition are described and exemplified in research concerned with medical expertise. The nature of intelligence and intelligence systems is examined, and the physical symbol system hypothesis and its results are analyzed. The author covers an artificial intelligence system that emulates the cognitive processes in scientific discovery and its implications for human creativity. |
| cognitive science and artificial intelligence: Cognitive Science Bruno G. Bara, 2016-07-07 Originally published in 1995, this book is about the conduct of cognitive science rather than what cognitive science is. It has three main objectives. First, it describes the birth of cognitive science. Second, it outlines the method of enquiry which characterises and defines cognitive science. This method uses the techniques of artificial intelligence based on the assumption that mental activity can, in principle, be reproduced by a computer program. Third, the book describes the state of the art in relevant areas, with particular attention to application fields such as pedagogics, human–machine interaction, and psychotherapy. The developmental approach is emphasised and highlights the fact that developmental aspects are essential in order to comprehend the steady mode of functioning achieved once a person has reached total maturity. Cognitive science is not presented as a definitive method for the analysis of the mind, though the author’s conclusion is that it is the best of all possible methods today. At the time of publication this book would have been useful as an advanced textbook for students on courses specialising in cognitive science, and as a source of further information for those working in related areas such as cognitive psychology, linguistics, and computer science. It will still be of interest to experts and students in the field of cognitive science. |
| cognitive science and artificial intelligence: The Oxford Handbook of Cognitive Science Susan F. Chipman, 2017 The Oxford Handbook of Cognitive Science emphasizes the research and theory most central to modern cognitive science: computational theories of complex human cognition. Additional facets of cognitive science are discussed in the handbook's introductory chapter. |
| cognitive science and artificial intelligence: First International Conference on Artificial Intelligence and Cognitive Computing Raju Surampudi Bapi, Koppula Srinivas Rao, Munaga V. N. K. Prasad, 2018-11-04 This book presents original research works by researchers, engineers and practitioners in the field of artificial intelligence and cognitive computing. The book is divided into two parts, the first of which focuses on artificial intelligence (AI), knowledge representation, planning, learning, scheduling, perception-reactive AI systems, evolutionary computing and other topics related to intelligent systems and computational intelligence. In turn, the second part focuses on cognitive computing, cognitive science and cognitive informatics. It also discusses applications of cognitive computing in medical informatics, structural health monitoring, computational intelligence, intelligent control systems, bio-informatics, smart manufacturing, smart grids, image/video processing, video analytics, medical image and signal processing, and knowledge engineering, as well as related applications. |
| cognitive science and artificial intelligence: Cognitive Electronic Warfare: An Artificial Intelligence Approach Karen Haigh, Julia Andrusenko, 2021-07-31 This comprehensive book gives an overview of how cognitive systems and artificial intelligence (AI) can be used in electronic warfare (EW). Readers will learn how EW systems respond more quickly and effectively to battlefield conditions where sophisticated radars and spectrum congestion put a high priority on EW systems that can characterize and classify novel waveforms, discern intent, and devise and test countermeasures. Specific techniques are covered for optimizing a cognitive EW system as well as evaluating its ability to learn new information in real time. The book presents AI for electronic support (ES), including characterization, classification, patterns of life, and intent recognition. Optimization techniques, including temporal tradeoffs and distributed optimization challenges are also discussed. The issues concerning real-time in-mission machine learning and suggests some approaches to address this important challenge are presented and described. The book covers electronic battle management, data management, and knowledge sharing. Evaluation approaches, including how to show that a machine learning system can learn how to handle novel environments, are also discussed. Written by experts with first-hand experience in AI-based EW, this is the first book on in-mission real-time learning and optimization. |
| cognitive science and artificial intelligence: Cognitive Science Jay Friedenberg, Gordon Silverman, 2011-07-14 In this Second Edition of their landmark text, Authors Jay Friedenberg and Gordon Silverman survey significant theoretical models of the human mind from an interdisciplinary perspective. Unlike other texts for this course which focus solely on classic experiments to illustrate major phenomena, Cognitive Science introduces students to the theoretical models and ideas underlying such empirical work. While experiments are discussed, they are used primarily to illustrate the specific characteristics of a model. This edition includes two new chapters on emotional cognition and social cognition. |
| cognitive science and artificial intelligence: The Sciences of Cognition Morton Wagman, 1995-03-30 Wagman presents a general, unified theory of artificial and human intelligence under which the nature of human reasoning, problem solving, analogical thinking, and scientific discovery is examined from theoretical, research and computational perspectives. The work analyzes foundational issues regarding the nature of intelligent systems and intelligence, and significant and current research in the area is discussed. This book will be of interest to scholars dealing with psychology, artificial intelligence and cognitive science. |
| cognitive science and artificial intelligence: Cognitive Sciences Maria Nowakowska, 1986-01-01 This highly original work extends and enriches our understanding of the theoretical apparatus of cognitive science and highlights some new aspects and possibilities for developing this interdisciplinary subject. The author examines the theoretical and methodological foundations of cognitive science and explores its usefulness as a descriptive and explanatory tool. The topics covered range from such relatively unexplored ones as observability networks and their restrictions, random and semi-random fuzzy objects, and relations between subjective and objective time, through judgement formation, descriptions, and texts, to more traditional subjects studied by cognitive scientists, namely, visual perception, memory, and communication. In her treatment of each topic, the author develops new conceptual representations of the phenomenon analyzed, postulates appropriate mechanisms, and formulates explanatory hypotheses. Dr. Nowakowska treats cognitive processes through a set of interrelated theories, from different perspectives and on various levels of generality. She departs from the information processing paradigm and proposes new concepts and solutions based on psychological intuitions and mechanisms. Her work stresses the problems of cognitive limitations and distortions as well as the generative, controlled, and dynamic character of cognition. |
| cognitive science and artificial intelligence: Cognitive Science Bruno G. Bara, 1995 . Cognitive science is not presented as a definitive method for the analysis of the mind, though the author's conclusion is that it is the best of all possible methods today. |
| cognitive science and artificial intelligence: Cognitive Science and Concepts of Mind Morton Wagman, 1991-10-30 Following the introductory chapter, each succeeding chapter focuses on a major component of cognition. Each cognitive component (logic, reasoning, problem solving, language, memory, learning, discovery) is analyzed from the perspectives of human intellect and artificial intelligence. The dual perspectives are then compared. The analyses and the comparisons take account of basic theory and describe contemporary research. The technical theory and research is considered against a broad background of intellectual history and psychological implication. This book is intended for anyone aware of the new intellectual paradigm and psychological challenge of artificial intelligence. It is written for the general reader, as well as for university students in cognitive science programs, artificial intelligence, psychology, and philosophy courses, and for professionals in these and related fields. --from preface. |
COGNITIVE Definition & Meaning - Merriam-Webster
The meaning of COGNITIVE is of, relating to, being, or involving conscious intellectual activity (such as thinking, reasoning, or remembering). How to use cognitive in a sentence.
COGNITIVE Definition & Meaning | Dictionary.com
Cognitive definition: of or relating to cognition; concerned with the act or process of knowing, perceiving, etc. .. See examples of COGNITIVE used in a sentence.
COGNITIVE | English meaning - Cambridge Dictionary
COGNITIVE definition: 1. connected with thinking or conscious mental processes: 2. connected with thinking or conscious…. Learn more.
Cognitive Definition and Meaning in Psychology - Verywell Mind
Apr 21, 2024 · Cognitive psychology seeks to understand all of the mental processes involved in human thought and behavior. It focuses on cognitive processes such as decision-making, …
Cognition - Wikipedia
It encompasses all aspects of intellectual functions and processes such as: perception, attention, thought, imagination, intelligence, the formation of knowledge, memory and working memory, …
Cognition | Definition, Psychology, Examples, & Facts | Britannica
May 15, 2025 · cognition, the states and processes involved in knowing, which in their completeness include perception and judgment. Cognition includes all conscious and …
Cognitive Approach In Psychology
May 12, 2025 · The cognitive approach in psychology studies mental processes—such as how we perceive, think, remember, learn, make decisions, and solve problems. Cognitive …
What does Cognitive mean? - Definitions.net
Cognitive refers to the mental processes and activities related to acquiring, processing, storing, and using information. It involves various abilities such as perception, attention, memory, …
Cognitive - Definition, Meaning & Synonyms | Vocabulary.com
The adjective, cognitive, comes from the Latin cognoscere "to get to know" and refers to the ability of the brain to think and reason as opposed to feel. A child's cognitive development is the …
Cognitive - definition of cognitive by The Free Dictionary
1. of or pertaining to cognition. 2. of or pertaining to the mental processes of perception, memory, judgment, and reasoning, as contrasted with emotional and volitional processes. cog`ni•tiv′i•ty, …
COGNITIVE Definition & Meaning - Merriam-Webster
The meaning of COGNITIVE is of, relating to, being, or involving conscious intellectual activity (such as thinking, reasoning, or remembering). How to use cognitive in a sentence.
COGNITIVE Definition & Meaning | Dictionary.com
Cognitive definition: of or relating to cognition; concerned with the act or process of knowing, perceiving, etc. .. See examples of COGNITIVE used in a sentence.
COGNITIVE | English meaning - Cambridge Dictionary
COGNITIVE definition: 1. connected with thinking or conscious mental processes: 2. connected with thinking or conscious…. Learn more.
Cognitive Definition and Meaning in Psychology - Verywell Mind
Apr 21, 2024 · Cognitive psychology seeks to understand all of the mental processes involved in human thought and behavior. It focuses on cognitive processes such as decision-making, …
Cognition - Wikipedia
It encompasses all aspects of intellectual functions and processes such as: perception, attention, thought, imagination, intelligence, the formation of knowledge, memory and working memory, …
Cognition | Definition, Psychology, Examples, & Facts | Britannica
May 15, 2025 · cognition, the states and processes involved in knowing, which in their completeness include perception and judgment. Cognition includes all conscious and …
Cognitive Approach In Psychology
May 12, 2025 · The cognitive approach in psychology studies mental processes—such as how we perceive, think, remember, learn, make decisions, and solve problems. Cognitive psychologists …
What does Cognitive mean? - Definitions.net
Cognitive refers to the mental processes and activities related to acquiring, processing, storing, and using information. It involves various abilities such as perception, attention, memory, …
Cognitive - Definition, Meaning & Synonyms | Vocabulary.com
The adjective, cognitive, comes from the Latin cognoscere "to get to know" and refers to the ability of the brain to think and reason as opposed to feel. A child's cognitive development is the …
Cognitive - definition of cognitive by The Free Dictionary
1. of or pertaining to cognition. 2. of or pertaining to the mental processes of perception, memory, judgment, and reasoning, as contrasted with emotional and volitional processes. cog`ni•tiv′i•ty, …
