Artificial Intelligence And Human Cognition
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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.
Artificial Intelligence And Human Cognition
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Author : Morton Wagman
language : en
Publisher: Praeger
Release Date : 1991-03-30
Artificial Intelligence And Human Cognition written by Morton Wagman and has been published by Praeger this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991-03-30 with Computers categories.
Morton Wagman examines the emulation of human cognition by artificial intelligence systems. Human thought and computer thought are compared in their distinctiveness and commonality. The book provides detailed examples of artificial intelligence programs (such as the FERMI System and the KEKADA program) accomplishing highly intellectual tasks. This, together with its coverage of general theoretical perspectives on the nature of cognition, make this volume both a valuable sourcebook and a stimulus for students and professionals in cognitive science, psychology, philosophy, and artificial intelligence courses. A general introduction to the computational modeling of cognition opens the book. Considered next are computational reasoning and human rationality. The range, depth, and sensitivity of mathematical and legal reasoning systems are compared with human mathematicians and human jurisprudence. General issues concerning the quality of human rationality are examined in several contexts: the prediction of economic behavior, mathematical abstraction and the concept of the infintesimal, and probalilistic judgement under uncertainty. Other chapters consider the nature of problem solving in the context of general intellectual principles and specific domain knowledge, the cognition of scientific discovery, and language representation modes and information processing efficiency. In the last chapter the most impressive intellectual achievements of AI systems are summarized. Directions for further intellectual research in this realm are also indicated.
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 Technology & Engineering 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.
Designing For Human Intelligence In An Artificial Intelligence World
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Author : Jerome L. Rekart
language : en
Publisher: Springer Nature
Release Date : 2025-06-06
Designing For Human Intelligence In An Artificial Intelligence World written by Jerome L. Rekart and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-06 with Mathematics categories.
How we think and react has a direct impact on experience design, but often designers don't understand the "whys" behind their best practices, leaving them at risk for misusing or underutilizing those designs. Similarly, psychologists/neuroscientists don't understand the design decisions that their science is informing and how they might be leveraged further. This book explores how neuroscience and cognitive psychology inform experience design, within the modern context of research and technological advances. With a conversational and playful tone, this book begins by grounding you in research and AI. That foundation then allows you to expand your repertoire through chapters on design-relevant cognitive phenomena such as memory, learning, and perception. By delving into how our brains handle these processes and how our designs can effectively (or ineffectively) leverage them, the book follows a journey that weaves academic learning with practical, real-world applications and examples. With the widespread availability of generative AI tools, understanding the intersection of human cognition and design and how that knowledge can be used to build a bridge between the brain and the software has become even more critical. By understanding the brain and human behavior more completely, designers will be able to effectively use AI as an accelerator for tactical projects and provide the context that is unique to the human ability to understand the "why.”
On The Foundations Of Artificial Intelligence And Human Cognition
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Author : P. A. M. Gelepithis
language : en
Publisher:
Release Date : 1984
On The Foundations Of Artificial Intelligence And Human Cognition written by P. A. M. Gelepithis and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1984 with categories.
On The Foundation Of Artificial Intelligence And Human Cognition
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Author : P. A. M. Gelepithis
language : en
Publisher:
Release Date : 1984
On The Foundation Of Artificial Intelligence And Human Cognition written by P. A. M. Gelepithis and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1984 with categories.
Artificial Intelligence For Cognitive Systems Deep Learning Neuro Symbolic Integration And Human Centric Intelligence
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Author : Samit Shivadekar
language : en
Publisher: Deep Science Publishing
Release Date : 2025-06-30
Artificial Intelligence For Cognitive Systems Deep Learning Neuro Symbolic Integration And Human Centric Intelligence written by Samit Shivadekar and has been published by Deep Science Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-30 with Computers categories.
Artificial intelligence quickly changed from a theory to a practical power - it spreads through every part of modern life. As people go from specific uses to more general kinds of intelligence, they must face a main change. This change involves what machines do and how people think about intelligence. The book, Cognitive AI - From Deep Learning to Artificial General Intelligence, looks at that change. This writing serves a wide, serious group of people - it is for graduate students and researchers in artificial intelligence and cognitive science. Educators along with industry workers also read this to get a better grasp of the path from current AI systems to future cognitive architectures. We do not just list technologies. We deal with the concepts, morals, technical issues as well as societal problems that sit at the core of creating machines that think. The chapters lay out this story bit by bit; they start with basic learning systems. They move to cognitive modeling and designs. The book finishes with important questions about governance, combining fields along with how people will work in the future. Throughout the text, the reader learns about current subjects. Some of these are large language models, explaining how systems work, reasoning with symbols plus networks, the safety of general artificial intelligence, and people working with machines. I appreciate the researchers, collaborators along with students who inspired this work. The growing group of thinkers also recognizes that making intelligent systems requires scientific exactness and philosophical thought. My hope is that this book guides plus starts talks for anyone who wants AI to develop responsibly and creatively.
The Sciences Of Cognition
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Author : Morton Wagman
language : en
Publisher: Praeger
Release Date : 1995-03-30
The Sciences Of Cognition written by Morton Wagman and has been published by Praeger this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995-03-30 with Education categories.
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.
Ai Vs Humans
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Author : Michael W. Eysenck
language : en
Publisher: Routledge
Release Date : 2021-12-30
Ai Vs Humans written by Michael W. Eysenck and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-30 with Psychology categories.
The great majority of books on artificial intelligence are written by AI experts who understandably focus on its achievements and potential transformative effects on society. In contrast, AI vs Humans is written by two psychologists (Michael and Christine Eysenck) whose perspective on AI (including robotics) is based on their knowledge and understanding of human cognition. This book evaluates the strengths and limitations of people and AI. The authors’ expertise equips them well to consider this by seeing how well (or badly) AI compares to human intelligence. They accept that AI matches or exceeds human ability in many spheres such as mathematical calculations, complex games (e.g., chess, Go, and poker), diagnosis from medical images, and robotic surgery. However, the human tendency to anthropomorphise has led many people to claim mistakenly that AI systems can think, infer, reason, and understand while engaging in information processing. In fact, such systems lack all those cognitive skills and are also deficient in the quintessentially human abilities of flexibility of thinking and general intelligence. At a time when human commitment to AI appears unstoppable, this up-to-date book advocates a symbiotic and co-operative relationship between humans and AI. It will be essential reading for anyone interested in AI and human cognition.
Cybernetics Human Cognition And Machine Learning In Communicative Applications
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Author : Vinit Kumar Gunjan
language : en
Publisher: Springer
Release Date : 2024-12-18
Cybernetics Human Cognition And Machine Learning In Communicative Applications written by Vinit Kumar Gunjan and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-18 with Computers categories.