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This book examines mechatronics and automatic control systems. The book covers important emerging topics in signal processing, control theory, sensors, mechanic manufacturing systems and automation. The book presents papers from the second International Conference on Mechatronics and Automatic Control Systems held in Beijing, China on September 20-21, 2014. Examines how to improve productivity through the latest advanced technologies Covering new systems and techniques in the broad field of mechatronics and automatic control systems
Intelligent Environments (IE) play an increasingly important role in many areas of our lives, including education, healthcare and the domestic environment. The term refers to physical spaces incorporating pervasive computing technology used to achieve specific goals for the user, the environment or both. This book presents the proceedings of the workshops of the 9th International Conference on Intelligent Environments (IE ‘13), held in Athens, Greece, in July 2013. The workshops which were presented in the context of this conference range from regular lectures to practical sessions. They provide a forum for scientists, researchers and engineers from both industry and academia to engage in discussions on newly emerging or rapidly evolving topics in the field. Topics covered in the workshops include artificial intelligence techniques for ambient intelligence; applications of affective computing in intelligent environments; smart offices and other workplaces; intelligent environment technology in education for creative learning; museums as intelligent environments; the application of intelligent environment technologies in the urban context for creating more sociable, intelligent cities and for constructing urban intelligence. IE can enrich user experience, better manage the environment’s resources, and increase user awareness of that environment. This book will be of interest to all those whose work involves the application of intelligent environments.
Provides an accessible introduction to computational complexity analysis and its application to questions of intractability in cognitive science.
This book will help researchers and engineers in the design of ethical systems for robots, addressing the philosophical questions that arise and exploring modern applications such as assistive robots and self-driving cars. The contributing authors are among the leading academic and industrial researchers on this topic and the book will be of value to researchers, graduate students and practitioners engaged with robot design, artificial intelligence and ethics.
The first goal of this book is to extend Two Minds originating from behavioral economics to the domain of interaction, where the time dimension has to be dealt with rigorously; in human–machine interaction, it is of crucial importance how synchronization between conscious processes and unconscious processes is established for a sense of smoothness, and how memory processes and action selection processes are coordinated. The first half this book describes the theory in detail. The book begins by outlining the whole view of the theory consisting of action selection processes and memorization processes, and their interactions. Then, a detailed description for action selection processes theorized as a nonlinear dynamic human behavior model with real-time constraints is provided, followed by a description for memorization processes. Also, implications of the theory to human–machine interactions are discussed. The second goal of this book is to provide a methodology to study how Two Minds works in practice when people use interactive systems. The latter half of this book describes theory practices in detail. A new methodology called Cognitive Chrono-Ethnography (CCE) is introduced, which adds the time dimension to Hutchins’ Cognitive Ethnography, in order to practice "know the users" systematically by designing user studies based on a simulation of users’ mental operations controlled by Two Minds. The author then shows how CCE has been applied to understanding the ways in which people navigate in real physical environments by walking and by car, respectively, and explores the possibility of applying CCE to predict people’s future needs. This is not for understanding how people use interfaces at present but to predict how people want to use the interfaces in the future given they are currently using them in a certain way Finally, the book concludes by describing implications of human–machine interactions that are carried out while using modern artefacts for people's cognitive development from birth, on the basis of the theories of action selection and memorization.
This three-volume work presents the proceedings from the 19th International Ship and Offshore Structures Congress held in Cascais, Portugal on 7th to 10th September 2015. The International Ship and Offshore Structures Congress (ISSC) is a forum for the exchange of information by experts undertaking and applying marine structural research.The aim of
Recent technology trends involving the combination of mobile networks and cloud computing have offered new chances for mobile network providers to use specific carrier-cloud services. These advancements will enhance the utilization of the mobile cloud in industry and corporate settings. Mobile Networks and Cloud Computing Convergence for Progressive Services and Applications is a fundamental source for the advancement of knowledge, application, and practice in the interdisciplinary areas of mobile network and cloud computing. By addressing innovative concepts and critical issues, this book is essential for researchers, practitioners, and students interested in the emerging field of vehicular wireless networks.
A novel proposal that the unified nature of our cognition can be partially explained by a cognitive architecture based on graphical models. Our ordinary, everyday thinking requires an astonishing range of cognitive activities, yet our cognition seems to take place seamlessly. We move between cognitive processes with ease, and different types of cognition seem to share information readily. In this book, David Danks proposes a novel cognitive architecture that can partially explain two aspects of human cognition: its relatively integrated nature and our effortless ability to focus on the relevant factors in any particular situation. Danks argues that both of these features of cognition are naturally explained if many of our cognitive representations are understood to be structured like graphical models. The computational framework of graphical models is widely used in machine learning, but Danks is the first to offer a book-length account of its use to analyze multiple areas of cognition. Danks demonstrates the usefulness of this approach by reinterpreting a variety of cognitive theories in terms of graphical models. He shows how we can understand much of our cognition—in particular causal learning, cognition involving concepts, and decision making—through the lens of graphical models, thus clarifying a range of data from experiments and introspection. Moreover, Danks demonstrates the important role that cognitive representations play in a unified understanding of cognition, arguing that much of our cognition can be explained in terms of different cognitive processes operating on a shared collection of cognitive representations. Danks's account is mathematically accessible, focusing on the qualitative aspects of graphical models and separating the formal mathematical details in the text.