Artificial Intelligence And Cognition
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Readings In Cognitive Science
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Author : Allan Collins
language : en
Publisher: Elsevier
Release Date : 2013-10-02
Readings In Cognitive Science written by Allan Collins and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-10-02 with Computers categories.
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.
Foundational Issues In Artificial Intelligence And Cognitive Science
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Author : M.H. Bickhard
language : en
Publisher: Elsevier
Release Date : 1996-10-15
Foundational Issues In Artificial Intelligence And Cognitive Science written by M.H. Bickhard and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996-10-15 with Computers categories.
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
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Author : Sasikumar Gurumoorthy
language : en
Publisher: Springer
Release Date : 2017-12-22
Cognitive Science And Artificial Intelligence written by Sasikumar Gurumoorthy and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-12-22 with Technology & Engineering categories.
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.
Ethical Artificial Intelligence From Popular To Cognitive Science
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Author : Jordan Richard Schoenherr
language : en
Publisher: Taylor & Francis
Release Date : 2022-06-24
Ethical Artificial Intelligence From Popular To Cognitive Science written by Jordan Richard Schoenherr and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-24 with Computers categories.
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.
Artificial Intelligence And Human Cognition
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Author : Minghai Zheng
language : en
Publisher: Independently Published
Release Date : 2023-05-22
Artificial Intelligence And Human Cognition written by Minghai Zheng and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-22 with categories.
1. #AI - Discover the role of artificial intelligence in human cognition and learn about its potential to revolutionize the way we think with this insightful book. 2. #HumanCognition - Human cognition involves complex thought processes. Find out how AI can work together with human cognition effectively with this helpful guidebook. 3. #IntelligentTechnologies - Intelligent technologies play a crucial role in modern cognitive operations. Learn about their potential with this informative read. 4. #Neuroscience - Neuroscience is important for understanding the brain's cognitive processes. Discover how AI fits into this with this must-read book. 5. #MachineLearning - Machine learning is an innovative technique for teaching machines to learn. Find out how machine learning can contribute to human cognition efforts with this insightful handbook. Artificial Intelligence (AI) and human cognition are two fields that have traditionally been viewed as distinct from one another. However, recent advances in AI and cognitive science have demonstrated the potential for these two fields to work together in a complementary way to unlock new insights into the nature of human cognition and intelligence. This book, "Artificial Intelligence and Human Cognition: Mind and Machine Working Together," explores the intersection between AI and human cognition, and how these two fields can collaborate to enhance our understanding of the human mind and its workings. In this introductory chapter, we will provide an overview of the current state of AI and cognitive science, and examine the challenges and opportunities presented by bringing these two fields together. The field of AI has made significant strides in recent years, with advancements in machine learning, natural language processing, and computer vision enabling machines to perform increasingly complex tasks. However, despite these breakthroughs, machines still lack the flexibility and adaptability of the human mind. Conversely, cognitive science has made great progress in understanding how the human brain processes information and how our cognitive processes influence our thoughts, decisions, and actions. However, there is still much about human cognition that remains unknown. One of the key challenges of bringing AI and cognitive science together is developing a shared vocabulary and conceptual framework that allows researchers from both fields to collaborate effectively. This requires a deep understanding of both AI and cognitive science, as well as an appreciation for the unique strengths and limitations of each approach. However, the benefits of combining AI and cognitive science are manifold. By leveraging the power of machine learning algorithms, researchers can analyze large-scale data sets to identify patterns and correlations in human behavior and cognition. Similarly, by incorporating insights from cognitive science, AI researchers can develop more sophisticated algorithms that better mimic human cognition and decision-making processes. In conclusion, this book aims to explore the intersection of AI and human cognition and how these two fields can work together to enhance our understanding of the human mind and its workings. It will cover various topics related to the application of AI in cognitive science, including language processing, emotion recognition, decision-making, and consciousness. By the end of this book, readers will have gained a solid understanding of how AI and cognitive science can be combined to unlock new insights into the nature of human cognition and intelligence. MingHai Zheng is a writer based in Wuhan, China, who focuses on writing articles about workplace and management topics. He has written hundreds of articles on these topics and is dedicated to sharing his insights and experiences with others who are interested in improving their careers and their businesses.
Cognitive Architectures In Artificial Intelligence
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Author : Andy Clark
language : en
Publisher: Taylor & Francis
Release Date : 1998
Cognitive Architectures In Artificial Intelligence written by Andy Clark and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with Computers categories.
This volume traces the modern critical and performance history of this play, one of Shakespeare's most-loved and most-performed comedies. The essay focus on such modern concerns as feminism, deconstruction, textual theory, and queer theory.
Artificial Intelligence And Creativity
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Author : T. Dartnall
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-04-17
Artificial Intelligence And Creativity written by T. Dartnall and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-04-17 with Psychology categories.
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.
Artificial Intelligence And Cognitive Computing
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Author : Miltiadis D. Lytras
language : en
Publisher: MDPI
Release Date : 2021-09-10
Artificial Intelligence And Cognitive Computing written by Miltiadis D. Lytras and has been published by MDPI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-10 with Technology & Engineering categories.
Artificial intelligence (AI) is a subject garnering increasing attention in both academia and the industry today. The understanding is that AI-enhanced methods and techniques create a variety of opportunities related to improving basic and advanced business functions, including production processes, logistics, financial management and others. As this collection demonstrates, AI-enhanced tools and methods tend to offer more precise results in the fields of engineering, financial accounting, tourism, air-pollution management and many more. The objective of this collection is to bring these topics together to offer the reader a useful primer on how AI-enhanced tools and applications can be of use in today’s world. In the context of the frequently fearful, skeptical and emotion-laden debates on AI and its value added, this volume promotes a positive perspective on AI and its impact on society. AI is a part of a broader ecosystem of sophisticated tools, techniques and technologies, and therefore, it is not immune to developments in that ecosystem. It is thus imperative that inter- and multidisciplinary research on AI and its ecosystem is encouraged. This collection contributes to that.
Cognitive Design For Artificial Minds
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Author : Antonio Lieto
language : en
Publisher: Routledge
Release Date : 2021-03-31
Cognitive Design For Artificial Minds written by Antonio Lieto and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-31 with Computers categories.
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.
Artificial Intelligence And Soft Computing
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Author : Amit Konar
language : en
Publisher: CRC Press
Release Date : 2018-10-08
Artificial Intelligence And Soft Computing written by Amit Konar and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-08 with Computers categories.
With all the material available in the field of artificial intelligence (AI) and soft computing-texts, monographs, and journal articles-there remains a serious gap in the literature. Until now, there has been no comprehensive resource accessible to a broad audience yet containing a depth and breadth of information that enables the reader to fully understand and readily apply AI and soft computing concepts. Artificial Intelligence and Soft Computing fills this gap. It presents both the traditional and the modern aspects of AI and soft computing in a clear, insightful, and highly comprehensive style. It provides an in-depth analysis of mathematical models and algorithms and demonstrates their applications in real world problems. Beginning with the behavioral perspective of "human cognition," the text covers the tools and techniques required for its intelligent realization on machines. The author addresses the classical aspects-search, symbolic logic, planning, and machine learning-in detail and includes the latest research in these areas. He introduces the modern aspects of soft computing from first principles and discusses them in a manner that enables a beginner to grasp the subject. He also covers a number of other leading aspects of AI research, including nonmonotonic and spatio-temporal reasoning, knowledge acquisition, and much more. Artificial Intelligence and Soft Computing: Behavioral and Cognitive Modeling of the Human Brain is unique for its diverse content, clear presentation, and overall completeness. It provides a practical, detailed introduction that will prove valuable to computer science practitioners and students as well as to researchers migrating to the subject from other disciplines.