Download or read book Computational Theory of Mind for Human Machine Teams written by Nikolos Gurney and published by Springer Nature. This book was released on 2023-01-01 with total page 235 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the First International Symposium, ToM for Teams 2021, held in Washington, DC, USA, during November 4–6, 2021, Each chapter in this section tackles a different aspect of AI representing the thoughts and beliefs of human agents. The work presented herein represents our collective efforts to better understand ToM, develop AI with ToM capabilities (ASI), and study how to integrate such systems into human teams.
Download or read book Artificial Intelligence Social Computing and Wearable Technologies written by Waldemar Karwowski and Tareq Ahram and published by AHFE Conference. This book was released on 2023-12-04 with total page 414 pages. Available in PDF, EPUB and Kindle. Book excerpt: Proceedings of the AHFE International Conference on Human Factors in Design, Engineering, and Computing (AHFE 2023 Hawaii Edition), Honolulu, Hawaii, USA 4-6, December 2023
Download or read book Human Factors and Simulation written by Julia Wright and Daniel Barber and published by AHFE International. This book was released on 2023-07-19 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: Proceedings of the 14th International Conference on Applied Human Factors and Ergonomics (AHFE 2023), July 20–24, 2023, San Francisco, USA
Download or read book Artificial Intelligence in HCI written by Helmut Degen and published by Springer Nature. This book was released on 2023-07-08 with total page 638 pages. Available in PDF, EPUB and Kindle. Book excerpt: This double volume book set constitutes the refereed proceedings of 4th International Conference, AI-HCI 2023, held as part of the 25th International Conference, HCI International 2023, which was held virtually in Copenhagen, Denmark in July 2023. The total of 1578 papers and 396 posters included in the HCII 2023 proceedings was carefully reviewed and selected from 7472 submissions. The first volume focuses on topics related to Human-Centered Artificial Intelligence, explainability, transparency and trustworthiness, ethics and fairness, as well as AI-supported user experience design. The second volume focuses on topics related to AI for language, text, and speech-related tasks, human-AI collaboration, AI for decision-support and perception analysis, and innovations in AI-enabled systems.
Download or read book The Routledge Handbook of the Computational Mind written by Mark Sprevak and published by Routledge. This book was released on 2018-09-04 with total page 737 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational approaches dominate contemporary cognitive science, promising a unified, scientific explanation of how the mind works. However, computational approaches raise major philosophical and scientific questions. In what sense is the mind computational? How do computational approaches explain perception, learning, and decision making? What kinds of challenges should computational approaches overcome to advance our understanding of mind, brain, and behaviour? The Routledge Handbook of the Computational Mind is an outstanding overview and exploration of these issues and the first philosophical collection of its kind. Comprising thirty-five chapters by an international team of contributors from different disciplines, the Handbook is organised into four parts: History and future prospects of computational approaches Types of computational approach Foundations and challenges of computational approaches Applications to specific parts of psychology. Essential reading for students and researchers in philosophy of mind, philosophy of psychology, and philosophy of science, The Routledge Handbook of the Computational Mind will also be of interest to those studying computational models in related subjects such as psychology, neuroscience, and computer science.
Download or read book Interdisciplinary Approaches to the Structure and Performance of Interdependent Autonomous Human Machine Teams and Systems A HMT S written by William Frere Lawless and published by Frontiers Media SA. This book was released on 2023-03-30 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book The Computational Theory of Mind written by Matteo Colombo and published by Cambridge University Press. This book was released on 2023-11-29 with total page 90 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Computational Theory of Mind says that the mind is a computing system. It has a long history going back to the idea that thought is a kind of computation. Its modern incarnation relies on analogies with contemporary computing technology and the use of computational models. It comes in many versions, some more plausible than others. This Element supports the theory primarily by its contribution to solving the mind-body problem, its ability to explain mental phenomena, and the success of computational modelling and artificial intelligence. To be turned into an adequate theory, it needs to be made compatible with the tractability of cognition, the situatedness and dynamical aspects of the mind, the way the brain works, intentionality, and consciousness.
Download or read book Human Machine Shared Contexts written by William Lawless and published by Academic Press. This book was released on 2020-06-10 with total page 448 pages. Available in PDF, EPUB and Kindle. Book excerpt: Human-Machine Shared Contexts considers the foundations, metrics, and applications of human-machine systems. Editors and authors debate whether machines, humans, and systems should speak only to each other, only to humans, or to both and how. The book establishes the meaning and operation of “shared contexts between humans and machines; it also explores how human-machine systems affect targeted audiences (researchers, machines, robots, users) and society, as well as future ecosystems composed of humans and machines. This book explores how user interventions may improve the context for autonomous machines operating in unfamiliar environments or when experiencing unanticipated events; how autonomous machines can be taught to explain contexts by reasoning, inferences, or causality, and decisions to humans relying on intuition; and for mutual context, how these machines may interdependently affect human awareness, teams and society, and how these "machines" may be affected in turn. In short, can context be mutually constructed and shared between machines and humans? The editors are interested in whether shared context follows when machines begin to think, or, like humans, develop subjective states that allow them to monitor and report on their interpretations of reality, forcing scientists to rethink the general model of human social behavior. If dependence on machine learning continues or grows, the public will also be interested in what happens to context shared by users, teams of humans and machines, or society when these machines malfunction. As scientists and engineers "think through this change in human terms," the ultimate goal is for AI to advance the performance of autonomous machines and teams of humans and machines for the betterment of society wherever these machines interact with humans or other machines. This book will be essential reading for professional, industrial, and military computer scientists and engineers; machine learning (ML) and artificial intelligence (AI) scientists and engineers, especially those engaged in research on autonomy, computational context, and human-machine shared contexts; advanced robotics scientists and engineers; scientists working with or interested in data issues for autonomous systems such as with the use of scarce data for training and operations with and without user interventions; social psychologists, scientists and physical research scientists pursuing models of shared context; modelers of the internet of things (IOT); systems of systems scientists and engineers and economists; scientists and engineers working with agent-based models (ABMs); policy specialists concerned with the impact of AI and ML on society and civilization; network scientists and engineers; applied mathematicians (e.g., holon theory, information theory); computational linguists; and blockchain scientists and engineers. Discusses the foundations, metrics, and applications of human-machine systems Considers advances and challenges in the performance of autonomous machines and teams of humans Debates theoretical human-machine ecosystem models and what happens when machines malfunction
Download or read book Computationalism written by Matthias Scheutz and published by MIT Press. This book was released on 2002 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt: A new computationalist view of the mind that takes into account real-world issues of embodiment, interaction, physical implementation, and semantics.
Download or read book Mind Computation written by Shi Zhongzhi and published by World Scientific. This book was released on 2017-02-17 with total page 488 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mind computation is a hot topic of intelligence science. It is explored by computing to explain the theoretical basis of human intelligence. Through long-term research, a mind model CAM (Consciousness and Memory) is proposed, which provides a general framework for brain-like intelligence and brain-like intelligent systems. This novel book centers on mind model CAM, systematically discusses the theoretical basis of mind computation in nine chapters. Because of its advanced progresses on brain-like intelligence, it is useful as a primary reference volume for professionals and graduate students in intelligence science, cognitive science and artificial intelligence.
Download or read book Computational Context written by William F. Lawless and published by CRC Press. This book was released on 2018-12-07 with total page 237 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume addresses context from three comprehensive perspectives: first, its importance, the issues surrounding context, and its value in the laboratory and the field; second, the theory guiding the AI used to model its context; and third, its applications in the field (e.g., decision-making). This breadth poses a challenge. The book analyzes how the environment (context) influences human perception, cognition and action. While current books approach context narrowly, the major contribution of this book is to provide an in-depth review over a broad range of topics for a computational context no matter its breadth. The volume outlines numerous strategies and techniques from world-class scientists who have adapted their research to solve different problems with AI, in difficult environments and complex domains to address the many computational challenges posed by context. Context can be clear, uncertain or an illusion. Clear contexts: A father praising his child; a trip to the post office to buy stamps; a policewoman asking for identification. Uncertain contexts: A sneak attack; a surprise witness in a courtroom; a shout of "Fire! Fire!" Contexts as illusion: Humans fall prey to illusions that machines do not (Adelson’s checkerboard illusion versus a photometer). Determining context is not easy when disagreement exists, interpretations vary, or uncertainty reigns. Physicists like Einstein (relativity), Bekenstein (holographs) and Rovelli (universe) have written that reality is not what we commonly believe. Even outside of awareness, individuals act differently whether alone or in teams. Can computational context with AI adapt to clear and uncertain contexts, to change over time, and to individuals, machines or robots as well as to teams? If a program automatically "knows" the context that improves performance or decisions, does it matter whether context is clear, uncertain or illusory? Written and edited by world class leaders from across the field of autonomous systems research, this volume carefully considers the computational systems being constructed to determine context for individual agents or teams, the challenges they face, and the advances they expect for the science of context.
Download or read book Computing the Mind written by Shimon Edelman and published by Oxford University Press. This book was released on 2008-09-08 with total page 628 pages. Available in PDF, EPUB and Kindle. Book excerpt: In a culmination of humanity's millenia-long quest for self knowledge, the sciences of the mind are now in a position to offer concrete, validated answers to the most fundamental questions about human nature. By analyzing the tasks facing any sentient being that is subject to stimulation and a pressure to act, Shimon Edelman identifies computation as the common denominator in the emerging answers to all these questions.The account given in this book is accessible, yet unified and rigorous, and the big picture he presents is supported by evidence ranging from neurobiology to computer science. This book should be read by anyone seeking a comprehensive introduction to cognitive psychology.
Download or read book A Decadal Survey of the Social and Behavioral Sciences written by National Academies of Sciences, Engineering, and Medicine and published by National Academies Press. This book was released on 2019-07-26 with total page 401 pages. Available in PDF, EPUB and Kindle. Book excerpt: The primary function of the intelligence analyst is to make sense of information about the world, but the way analysts do that work will look profoundly different a decade from now. Technological changes will bring both new advances in conducting analysis and new risks related to technologically based activities and communications around the world. Because these changes are virtually inevitable, the Intelligence Community will need to make sustained collaboration with researchers in the social and behavioral sciences (SBS) a key priority if it is to adapt to these changes in the most productive ways. A Decadal Survey Of The Social and Behavioral Sciences provides guidance for a 10-year research agenda. This report identifies key opportunities in SBS research for strengthening intelligence analysis and offers ideas for integrating the knowledge and perspectives of researchers from these fields into the planning and design of efforts to support intelligence analysis.
Download or read book Computer Models of Mind written by Margaret A. Boden and published by Cambridge University Press. This book was released on 1988-04-29 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book shows how computer models are used to study many psychological phenomena - including vision, language, reasoning, and learning.
Download or read book Human and Machine Thinking written by Philip N. Johnson-Laird and published by Psychology Press. This book was released on 2013-11-05 with total page 221 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book aims to reach an understanding of how the mind carries out three sorts of thinking -- deduction, induction, and creation -- to consider what goes right and what goes wrong, and to explore computational models of these sorts of thinking. Written for students of the mind -- psychologists, computer scientists, philosophers, linguists, and other cognitive scientists -- it also provides general readers with a self-contained account of human and machine thinking. The author presents his point of view, rather than a review, as simply as possible so that no technical background is required. Like the field of research itself, it calls for hard thinking about thinking.
Download or read book Macrocognition in Teams written by Norman W. Warner and published by CRC Press. This book was released on 2017-09-18 with total page 446 pages. Available in PDF, EPUB and Kindle. Book excerpt: Team collaboration involves many operational tasks such as team decision-making or course of action selection, developing shared understanding, and intelligence analysis. These operational tasks must be performed in many situations, often under severe time pressure, with information and knowledge uncertainty, large amounts of dynamic information and across different team characteristics. Recent research in this area has focused on various aspects of human collaborative decision-making and the underlying cognitive processes while describing those processes at different levels of detail, making it difficult to compare research results. The theoretical construct of ’macrocognition in teams’ was developed to facilitate cognitive research in team collaboration, which will enable a common level of understanding when defining, measuring and discussing the cognitive processes in team collaboration. Macrocognition is defined as both the internalized and externalized mental processes employed by team members in complex, one-of-a-kind, collaborative problem solving. Macrocognition in Teams provides readers with a greater understanding of the macrocognitive processes which support collaborative team activity, showcasing current research, theories, methodologies and tools. It will be of direct relevance to academics, researchers and practitioners interested in group/team interaction, performance, development and training.
Download or read book The Application of Artificial Intelligence in Brain Computer Interface and Neural System Rehabilitation written by Fangzhou Xu and published by Frontiers Media SA. This book was released on 2023-11-15 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt:
