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Intelligence-Based Medicine: Data Science, Artificial Intelligence, and Human Cognition in Clinical Medicine and Healthcare provides a multidisciplinary and comprehensive survey of artificial intelligence concepts and methodologies with real life applications in healthcare and medicine. Authored by a senior physician-data scientist, the book presents an intellectual and academic interface between the medical and the data science domains that is symmetric and balanced. The content consists of basic concepts of artificial intelligence and its real-life applications in a myriad of medical areas as well as medical and surgical subspecialties. It brings section summaries to emphasize key concepts delineated in each section; mini-topics authored by world-renowned experts in the respective key areas for their personal perspective; and a compendium of practical resources, such as glossary, references, best articles, and top companies. The goal of the book is to inspire clinicians to embrace the artificial intelligence methodologies as well as to educate data scientists about the medical ecosystem, in order to create a transformational paradigm for healthcare and medicine by using this emerging new technology. Covers a wide range of relevant topics from cloud computing, intelligent agents, to deep reinforcement learning and internet of everything Presents the concepts of artificial intelligence and its applications in an easy-to-understand format accessible to clinicians and data scientists Discusses how artificial intelligence can be utilized in a myriad of subspecialties and imagined of the future Delineates the necessary elements for successful implementation of artificial intelligence in medicine and healthcare
Book Synopsis Intelligence-Based Medicine by : Anthony C. Chang
Download or read book Intelligence-Based Medicine written by Anthony C. Chang and published by Academic Press. This book was released on 2020-06-27 with total page 549 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intelligence-Based Medicine: Data Science, Artificial Intelligence, and Human Cognition in Clinical Medicine and Healthcare provides a multidisciplinary and comprehensive survey of artificial intelligence concepts and methodologies with real life applications in healthcare and medicine. Authored by a senior physician-data scientist, the book presents an intellectual and academic interface between the medical and the data science domains that is symmetric and balanced. The content consists of basic concepts of artificial intelligence and its real-life applications in a myriad of medical areas as well as medical and surgical subspecialties. It brings section summaries to emphasize key concepts delineated in each section; mini-topics authored by world-renowned experts in the respective key areas for their personal perspective; and a compendium of practical resources, such as glossary, references, best articles, and top companies. The goal of the book is to inspire clinicians to embrace the artificial intelligence methodologies as well as to educate data scientists about the medical ecosystem, in order to create a transformational paradigm for healthcare and medicine by using this emerging new technology. Covers a wide range of relevant topics from cloud computing, intelligent agents, to deep reinforcement learning and internet of everything Presents the concepts of artificial intelligence and its applications in an easy-to-understand format accessible to clinicians and data scientists Discusses how artificial intelligence can be utilized in a myriad of subspecialties and imagined of the future Delineates the necessary elements for successful implementation of artificial intelligence in medicine and healthcare
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.
Book Synopsis Artificial Intelligence and Human Cognition by : Minghai Zheng
Download or read book Artificial Intelligence and Human Cognition written by Minghai Zheng and published by Independently Published. This book was released on 2023-05-22 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
This text discusses design issues of social agent technology with the perspective of human cognition. It combines the disciplines of computer science, social science and psychology but seeks to avoid being overly technical, and is written for an interdisclipinary audience.
Book Synopsis Human Cognition and Social Agent Technology by : Kerstin Dautenhahn
Download or read book Human Cognition and Social Agent Technology written by Kerstin Dautenhahn and published by John Benjamins Publishing. This book was released on 2000 with total page 474 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text discusses design issues of social agent technology with the perspective of human cognition. It combines the disciplines of computer science, social science and psychology but seeks to avoid being overly technical, and is written for an interdisclipinary audience.
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.
Book Synopsis Artificial Intelligence and Soft Computing by : Amit Konar
Download or read book Artificial Intelligence and Soft Computing written by Amit Konar and published by CRC Press. This book was released on 2018-10-08 with total page 834 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
This edited book designs the Cognitive Computing in Human Cognition to analyze to improve the efficiency of decision making by cognitive intelligence. The book is also intended to attract the audience who work in brain computing, deep learning, transportation, and solar cell energy. Due to this in the recent era, smart methods with human touch called as human cognition is adopted by many researchers in the field of information technology with the Cognitive Computing.
Book Synopsis Cognitive Computing in Human Cognition by : Pradeep Kumar Mallick
Download or read book Cognitive Computing in Human Cognition written by Pradeep Kumar Mallick and published by Springer Nature. This book was released on 2020-06-18 with total page 136 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edited book designs the Cognitive Computing in Human Cognition to analyze to improve the efficiency of decision making by cognitive intelligence. The book is also intended to attract the audience who work in brain computing, deep learning, transportation, and solar cell energy. Due to this in the recent era, smart methods with human touch called as human cognition is adopted by many researchers in the field of information technology with the Cognitive Computing.
Book Synopsis On the Foundation of Artificial Intelligence and Human Cognition by : P. A. M. Gelepithis
Download or read book On the Foundation of Artificial Intelligence and Human Cognition written by P. A. M. Gelepithis and published by . This book was released on 1984 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Technological development has changed the nature of industrial production so that it is no longer a question of humans working with a machine, but rather that a joint human machine system is performing the task. This development, which started in the 1940s, has become even more pronounced with the proliferation of computers and the invasion of digital technology in all wakes of working life. It may appear that the importance of human work has been reduced compared to what can be achieved by intelligent software systems, but in reality, the opposite is true: the more complex a system, the more vital the human operator's task. The conditions have changed, however, whereas people used to be in control of their own tasks, today they have become supervisors of tasks which are shared between humans and machines. A considerable effort has been devoted to the domain of administrative and clerical work and has led to the establishment of an internationally based human-computer interaction (HCI) community at research and application levels. The HCI community, however, has paid more attention to static environments where the human operator is in complete control of the situation, rather than to dynamic environments where changes may occur independent of human intervention and actions. This book's basic philosophy is the conviction that human operators remain the unchallenged experts even in the worst cases where their working conditions have been impoverished by senseless automation. They maintain this advantage due to their ability to learn and build up a high level of expertise -- a foundation of operational knowledge -- during their work. This expertise must be taken into account in the development of efficient human-machine systems, in the specification of training requirements, and in the identification of needs for specific computer support to human actions. Supporting this philosophy, this volume *deals with the main features of cognition in dynamic environments, combining issues coming from empirical approaches of human cognition and cognitive simulation, *addresses the question of the development of competence and expertise, and *proposes ways to take up the main challenge in this domain -- the design of an actual cooperation between human experts and computers of the next century.
Book Synopsis Expertise and Technology by : Jean-Michel Hoc
Download or read book Expertise and Technology written by Jean-Michel Hoc and published by Psychology Press. This book was released on 2013-06-17 with total page 327 pages. Available in PDF, EPUB and Kindle. Book excerpt: Technological development has changed the nature of industrial production so that it is no longer a question of humans working with a machine, but rather that a joint human machine system is performing the task. This development, which started in the 1940s, has become even more pronounced with the proliferation of computers and the invasion of digital technology in all wakes of working life. It may appear that the importance of human work has been reduced compared to what can be achieved by intelligent software systems, but in reality, the opposite is true: the more complex a system, the more vital the human operator's task. The conditions have changed, however, whereas people used to be in control of their own tasks, today they have become supervisors of tasks which are shared between humans and machines. A considerable effort has been devoted to the domain of administrative and clerical work and has led to the establishment of an internationally based human-computer interaction (HCI) community at research and application levels. The HCI community, however, has paid more attention to static environments where the human operator is in complete control of the situation, rather than to dynamic environments where changes may occur independent of human intervention and actions. This book's basic philosophy is the conviction that human operators remain the unchallenged experts even in the worst cases where their working conditions have been impoverished by senseless automation. They maintain this advantage due to their ability to learn and build up a high level of expertise -- a foundation of operational knowledge -- during their work. This expertise must be taken into account in the development of efficient human-machine systems, in the specification of training requirements, and in the identification of needs for specific computer support to human actions. Supporting this philosophy, this volume *deals with the main features of cognition in dynamic environments, combining issues coming from empirical approaches of human cognition and cognitive simulation, *addresses the question of the development of competence and expertise, and *proposes ways to take up the main challenge in this domain -- the design of an actual cooperation between human experts and computers of the next century.
Book Synopsis On the foundations of artificial intelligence and human cognition by : P. A. M. Gelepithis
Download or read book On the foundations of artificial intelligence and human cognition written by P. A. M. Gelepithis and published by . This book was released on 1984 with total page 434 pages. Available in PDF, EPUB and Kindle. Book excerpt:
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.
Book Synopsis The Sciences of Cognition by : Morton Wagman
Download or read book The Sciences of Cognition written by Morton Wagman and published by Praeger. This book was released on 1995-03-30 with total page 192 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
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.
Book Synopsis Artificial Intelligence and Human Cognition by : Morton Wagman
Download or read book Artificial Intelligence and Human Cognition written by Morton Wagman and published by Praeger. This book was released on 1991-03-30 with total page 176 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.