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Computational Theory Of Mind For Human Machine Teams
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Book Synopsis Computational Theory of Mind for Human-Machine Teams by : Nikolos Gurney
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.
Book Synopsis Artificial Intelligence, Social Computing and Wearable Technologies by : Waldemar Karwowski and Tareq Ahram
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
Book Synopsis Human Factors and Simulation by : Julia Wright and Daniel Barber
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
Book Synopsis Artificial Intelligence in HCI by : Helmut Degen
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.
Book Synopsis Interdisciplinary Approaches to the Structure and Performance of Interdependent Autonomous Human Machine Teams and Systems (A-HMT-S) by : William Frere Lawless
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:
Book Synopsis Human-Machine Shared Contexts by : William Lawless
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
Book Synopsis The Application of Artificial Intelligence in Brain-Computer Interface and Neural System Rehabilitation by : Fangzhou Xu
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:
Book Synopsis Macrocognition in Teams by : Michael P. Letsky
Download or read book Macrocognition in Teams written by Michael P. Letsky and published by CRC Press. This book was released on 2017-09-18 with total page 739 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.
Book Synopsis Advances in Neural Computation, Machine Learning, and Cognitive Research IV by : Boris Kryzhanovsky
Download or read book Advances in Neural Computation, Machine Learning, and Cognitive Research IV written by Boris Kryzhanovsky and published by Springer Nature. This book was released on 2020-10-01 with total page 441 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes new theories and applications of artificial neural networks, with a special focus on answering questions in neuroscience, biology and biophysics and cognitive research. It covers a wide range of methods and technologies, including deep neural networks, large scale neural models, brain computer interface, signal processing methods, as well as models of perception, studies on emotion recognition, self-organization and many more. The book includes both selected and invited papers presented at the XXII International Conference on Neuroinformatics, held on October 12-16, 2020, Moscow, Russia.
Book Synopsis Using Computational Intelligence for the Dark Web and Illicit Behavior Detection by : Rawat, Romil
Download or read book Using Computational Intelligence for the Dark Web and Illicit Behavior Detection written by Rawat, Romil and published by IGI Global. This book was released on 2022-05-06 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Dark Web is a known hub that hosts myriad illegal activities behind the veil of anonymity for its users. For years now, law enforcement has been struggling to track these illicit activities and put them to an end. However, the depth and anonymity of the Dark Web has made these efforts difficult, and as cyber criminals have more advanced technologies available to them, the struggle appears to only have the potential to worsen. Law enforcement and government organizations also have emerging technologies on their side, however. It is essential for these organizations to stay up to date on these emerging technologies, such as computational intelligence, in order to put a stop to the illicit activities and behaviors presented in the Dark Web. Using Computational Intelligence for the Dark Web and Illicit Behavior Detection presents the emerging technologies and applications of computational intelligence for the law enforcement of the Dark Web. It features analysis into cybercrime data, examples of the application of computational intelligence in the Dark Web, and provides future opportunities for growth in this field. Covering topics such as cyber threat detection, crime prediction, and keyword extraction, this premier reference source is an essential resource for government organizations, law enforcement agencies, non-profit organizations, politicians, computer scientists, researchers, students, and academicians.
Book Synopsis The Alignment Problem: Machine Learning and Human Values by : Brian Christian
Download or read book The Alignment Problem: Machine Learning and Human Values written by Brian Christian and published by W. W. Norton & Company. This book was released on 2020-10-06 with total page 459 pages. Available in PDF, EPUB and Kindle. Book excerpt: A jaw-dropping exploration of everything that goes wrong when we build AI systems and the movement to fix them. Today’s “machine-learning” systems, trained by data, are so effective that we’ve invited them to see and hear for us—and to make decisions on our behalf. But alarm bells are ringing. Recent years have seen an eruption of concern as the field of machine learning advances. When the systems we attempt to teach will not, in the end, do what we want or what we expect, ethical and potentially existential risks emerge. Researchers call this the alignment problem. Systems cull résumés until, years later, we discover that they have inherent gender biases. Algorithms decide bail and parole—and appear to assess Black and White defendants differently. We can no longer assume that our mortgage application, or even our medical tests, will be seen by human eyes. And as autonomous vehicles share our streets, we are increasingly putting our lives in their hands. The mathematical and computational models driving these changes range in complexity from something that can fit on a spreadsheet to a complex system that might credibly be called “artificial intelligence.” They are steadily replacing both human judgment and explicitly programmed software. In best-selling author Brian Christian’s riveting account, we meet the alignment problem’s “first-responders,” and learn their ambitious plan to solve it before our hands are completely off the wheel. In a masterful blend of history and on-the ground reporting, Christian traces the explosive growth in the field of machine learning and surveys its current, sprawling frontier. Readers encounter a discipline finding its legs amid exhilarating and sometimes terrifying progress. Whether they—and we—succeed or fail in solving the alignment problem will be a defining human story. The Alignment Problem offers an unflinching reckoning with humanity’s biases and blind spots, our own unstated assumptions and often contradictory goals. A dazzlingly interdisciplinary work, it takes a hard look not only at our technology but at our culture—and finds a story by turns harrowing and hopeful.
Book Synopsis Routledge Handbook of the Philosophy of Sport by : Mike McNamee
Download or read book Routledge Handbook of the Philosophy of Sport written by Mike McNamee and published by Routledge. This book was released on 2015-03-05 with total page 693 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Routledge Handbook of the Philosophy of Sport is a landmark publication in sport studies. It goes further than any book has before in tracing the contours of the discipline of the philosophy of sport and in surveying the core themes, approaches and theories that form its disciplinary fabric. The book explores the ways in which an understanding of philosophy can inform our understanding of important prevailing issues in sport. Edited by two of the most significant figures in the development of the philosophy of sport, Mike McNamee and Bill Morgan, and with contributions from many of the world’s leading sport philosophers, this is an invaluable companion reference volume for any course in the social scientific study of sport, and an essential addition to the bookshelf of any serious scholar of the philosophy and/or ethics of sport.
Download or read book The Mechanical Mind written by Tim Crane and published by Presbyterian Publishing Corp. This book was released on 2003-04-24 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: A fascinating exploration of the theories and arguments surrounding the notions of thought and representation. Now in its 2nd edition, Cranes's classic text has introduced thousands to some of the most important ideas in philosophy of mind.
Book Synopsis Computational Context by : William F. Lawless
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 223 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.
Book Synopsis Autonomy and Artificial Intelligence: A Threat or Savior? by : W.F. Lawless
Download or read book Autonomy and Artificial Intelligence: A Threat or Savior? written by W.F. Lawless and published by Springer. This book was released on 2017-08-24 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores how Artificial Intelligence (AI), by leading to an increase in the autonomy of machines and robots, is offering opportunities for an expanded but uncertain impact on society by humans, machines, and robots. To help readers better understand the relationships between AI, autonomy, humans and machines that will help society reduce human errors in the use of advanced technologies (e.g., airplanes, trains, cars), this edited volume presents a wide selection of the underlying theories, computational models, experimental methods, and field applications. While other literature deals with these topics individually, this book unifies the fields of autonomy and AI, framing them in the broader context of effective integration for human-autonomous machine and robotic systems. The contributions, written by world-class researchers and scientists, elaborate on key research topics at the heart of effective human-machine-robot-systems integration. These topics include, for example, computational support for intelligence analyses; the challenge of verifying today’s and future autonomous systems; comparisons between today’s machines and autism; implications of human information interaction on artificial intelligence and errors; systems that reason; the autonomy of machines, robots, buildings; and hybrid teams, where hybrid reflects arbitrary combinations of humans, machines and robots. The contributors span the field of autonomous systems research, ranging from industry and academia to government. Given the broad diversity of the research in this book, the editors strove to thoroughly examine the challenges and trends of systems that implement and exhibit AI; the social implications of present and future systems made autonomous with AI; systems with AI seeking to develop trusted relationships among humans, machines, and robots; and the effective human systems integration that must result for trust in these new systems and their applications to increase and to be sustained.
Book Synopsis The Engine of Reason, the Seat of the Soul by : Paul M. Churchland
Download or read book The Engine of Reason, the Seat of the Soul written by Paul M. Churchland and published by MIT Press. This book was released on 1995 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: This work summarizes results from neuroscience and recent work with artificial neural networks that together suggest a unified set of answers to questions about how the brain actually works; how it sustains a thinking, feeling, dreaming self; and how it sustains a self-conscious person.
Download or read book Perception written by Dennis Proffitt and published by Macmillan + ORM. This book was released on 2020-07-28 with total page 198 pages. Available in PDF, EPUB and Kindle. Book excerpt: A groundbreaking popular psychology book that explores the deep connection between our body and our brain. Over decades of study, University of Virginia psychologist Dennis Proffitt has shown that we are each living our own personal version of Gulliver’s Travels, where the size and shape of the things we see are scaled to the size of our bodies, and our ability to interact with them. Stairs look less steep as dieters lose weight, baseballs grow bigger the better players hit, hills look less daunting if you’re standing next to a close friend, and learning happens faster when you can talk with your hands. Written with journalist Drake Baer, Perception marries academic rigor with mainstream accessibility. The research presented and the personalities profiled will show what it means to not only have, but be, your unique human body. The positive ramifications of viewing ourselves from this embodied perspective include greater athletic, academic, and professional achievement, more nourishing relationships, and greater personal well-being. The better we can understand what our bodies are—what they excel at, what they need, what they must avoid—the better we can live our lives.
