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| cognitive science 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 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 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 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 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 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 artificial intelligence: Foundational Issues in Artificial Intelligence and Cognitive Science Mark H. Bickhard, L. Terveen, 1995-03-07 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 asdistortions 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, butencodingism 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 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 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 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 artificial intelligence: Research Directions in Cognitive Science: Artificial intelligence Alan D. Baddeley, Niels Ole Bernsen, 1989 |
| cognitive science 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 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 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 artificial intelligence: Mind as Machine Margaret A. Boden, 2008-06-19 The development of cognitive science is one of the most remarkable and fascinating intellectual achievements of the modern era. The quest to understand the mind is as old as recorded human thought; but the progress of modern science has offered new methods and techniques which have revolutionized this enquiry. Oxford University Press now presents a masterful history of cognitive science, told by one of its most eminent practitioners. Cognitive science is the project of understanding the mind by modeling its workings. Psychology is its heart, but it draws together various adjoining fields of research, including artificial intelligence; neuroscientific study of the brain; philosophical investigation of mind, language, logic, and understanding; computational work on logic and reasoning; linguistic research on grammar, semantics, and communication; and anthropological explorations of human similarities and differences. Each discipline, in its own way, asks what the mind is, what it does, how it works, how it developed - how it is even possible. The key distinguishing characteristic of cognitive science, Boden suggests, compared with older ways of thinking about the mind, is the notion of understanding the mind as a kind of machine. She traces the origins of cognitive science back to Descartes's revolutionary ideas, and follows the story through the eighteenth and nineteenth centuries, when the pioneers of psychology and computing appear. Then she guides the reader through the complex interlinked paths along which the study of the mind developed in the twentieth century. Cognitive science, in Boden's broad conception, covers a wide range of aspects of mind: not just 'cognition' in the sense of knowledge or reasoning, but emotion, personality, social communication, and even action. In each area of investigation, Boden introduces the key ideas and the people who developed them. No one else could tell this story as Boden can: she has been an active participant in cognitive science since the 1960s, and has known many of the key figures personally. Her narrative is written in a lively, swift-moving style, enriched by the personal touch of someone who knows the story at first hand. Her history looks forward as well as back: it is her conviction that cognitive science today--and tomorrow--cannot be properly understood without a historical perspective. Mind as Machine will be a rich resource for anyone working on the mind, in any academic discipline, who wants to know how our understanding of our mental activities and capacities has developed. |
| cognitive science artificial intelligence: Artificial Intelligence and Cognitive Science Andy Clark, Josefa Toribio, 1998-06-30 First Published in 1998. Routledge is an imprint of Taylor & Francis, an informa company. |
| cognitive science artificial intelligence: Mind as Machine Margaret A. Boden, 2006 The development of cognitive science is one of the most remarkable and fascinating intellectual achievements of the modern era. It brings together psychology, neuroscience, artificial intelligence, computing, philosophy, linguistics, and anthropology in the project of understanding the mind by modelling its workings. Oxford University Press now presents a masterful history of cognitive science, told by one of its most eminent practitioners. |
| cognitive science 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 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 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 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 artificial intelligence: AI and Cognitive Science '90 Michael McTear, Norman Creaney, 1991 |
| cognitive science 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 artificial intelligence: Artificial Cognitive Systems David Vernon, 2024-08-20 A concise introduction to a complex field, bringing together recent work in cognitive science and cognitive robotics to offer a solid grounding on key issues. This book offers a concise and accessible introduction to the emerging field of artificial cognitive systems. Cognition, both natural and artificial, is about anticipating the need for action and developing the capacity to predict the outcome of those actions. Drawing on artificial intelligence, developmental psychology, and cognitive neuroscience, the field of artificial cognitive systems has as its ultimate goal the creation of computer-based systems that can interact with humans and serve society in a variety of ways. This primer brings together recent work in cognitive science and cognitive robotics to offer readers a solid grounding on key issues. The book first develops a working definition of cognitive systems—broad enough to encompass multiple views of the subject and deep enough to help in the formulation of theories and models. It surveys the cognitivist, emergent, and hybrid paradigms of cognitive science and discusses cognitive architectures derived from them. It then turns to the key issues, with chapters devoted to autonomy, embodiment, learning and development, memory and prospection, knowledge and representation, and social cognition. Ideas are introduced in an intuitive, natural order, with an emphasis on the relationships among ideas and building to an overview of the field. The main text is straightforward and succinct; sidenotes drill deeper on specific topics and provide contextual links to further reading. |
| cognitive science artificial intelligence: Readings in Cognitive Science Allan Collins, Edward E. Smith, 1988 |
| cognitive science 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 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 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 artificial intelligence: The Computer and the Mind Philip Nicholas Johnson-Laird, 1988 Computing Methodologies -- Artificial Intelligence. |
| cognitive science 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 artificial intelligence: Artificial Intelligence Ronald Chrisley, Sander Begeer, 2000 |
| cognitive science artificial intelligence: Understanding Intelligence Rolf Pfeifer, Christian Scheier, 2001-07-27 The book includes all the background material required to understand the principles underlying intelligence, as well as enough detailed information on intelligent robotics and simulated agents so readers can begin experiments and projects on their own. By the mid-1980s researchers from artificial intelligence, computer science, brain and cognitive science, and psychology realized that the idea of computers as intelligent machines was inappropriate. The brain does not run programs; it does something entirely different. But what? Evolutionary theory says that the brain has evolved not to do mathematical proofs but to control our behavior, to ensure our survival. Researchers now agree that intelligence always manifests itself in behavior—thus it is behavior that we must understand. An exciting new field has grown around the study of behavior-based intelligence, also known as embodied cognitive science, new AI, and behavior-based AI. This book provides a systematic introduction to this new way of thinking. After discussing concepts and approaches such as subsumption architecture, Braitenberg vehicles, evolutionary robotics, artificial life, self-organization, and learning, the authors derive a set of principles and a coherent framework for the study of naturally and artificially intelligent systems, or autonomous agents. This framework is based on a synthetic methodology whose goal is understanding by designing and building. The book includes all the background material required to understand the principles underlying intelligence, as well as enough detailed information on intelligent robotics and simulated agents so readers can begin experiments and projects on their own. The reader is guided through a series of case studies that illustrate the design principles of embodied cognitive science. |
| cognitive science 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 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 artificial intelligence: Artificial Cognition Systems Loula, Angelo, Gudwin, Ricardo, Queiroz, Jo?o, 2006-07-31 This book presents recent research efforts in Artificial Intelligence about building artificial systems capable of performing cognitive tasks. A fundamental issue addressed in this book is if these cognitive processes can have any meaningfulness to the artificial system being built--Provided by publisher. |
| cognitive science artificial intelligence: Artificial Minds Stan Franklin, 1997 Stan Franklin is the perfect tour guide through the contemporary interdisciplinary matrix of artificial intelligence, cognitive science, cognitive neuroscience, artificial neural networks, artificial life, and robotics that is producing a new paradigm of mind. Along the way, Franklin makes the case for a perspective that rejects a rigid distinction between mind and non-mind in favor of a continuum from less to more mind. |
| cognitive science 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 artificial intelligence: Intelligence Science Zhongzhi Shi, 2012 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 artificial intelligence: Foundational Issues in Artificial Intelligence and Cognitive Science M.H. Bickhard, L. Terveen, 1995-03-01 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 asdistortions 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, butencodingism 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 artificial intelligence: The Cambridge Handbook of Artificial Intelligence Keith Frankish, William M. Ramsey, 2014-06-12 An authoritative, up-to-date survey of the state of the art in artificial intelligence, written for non-specialists. |
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 …
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, …
