Yang Cai Libri

Emerging information technologies have transformed human interactions, exemplified by the rapid evolution of thumb usage for controlling mobile devices. In the medical field, advancements like pill cameras, implantable devices, robotic surgeries, and virtual reality training are revolutionizing our lives and work. Human Algorithms aim to model human forms, interactions, and dynamics in this evolving landscape. These engineering methods extend beyond theoretical frameworks, pushing the limits of multi-physics, sensing, and virtual technologies. They have become more comprehensive and cost-effective for real-world applications, integrated into monitors, networks, and even within patients. This book reflects the current state of Human Algorithms, serving as a survey of innovative concepts for newcomers in the field. It targets college students, researchers, engineers, designers, scientists, managers, and healthcare professionals. The 11 chapters are organized into three parts: Human Dynamics, Virtual Humans, and Human Forms. The first chapter, “Implantable Computing,” by Warwick and Gasson, provides an overview of Brain to Computer Interfacing developments, detailing human experimentation with neural implants that connect the nervous system bi-directionally with technology and the Internet. The subsequent chapter, “Brainwave-Based Imagery Analysis,” by Cowell et al., continues to explore these advancements.

Many difficult scientific discovery tasks can only be solved in interactive ways, by combining intelligent computing techniques with intuitive and adaptive user interfaces. It is inevitable to use human intelligence in scientific discovery systems: human eyes can capture complex patterns and relationships, along with detecting the exceptional cases in a data set; the human brain can easily manipulate perceptions to make decisions. Ambient intelligence is about this kind of ubiquitous and autonomous human interaction with information. Scientific discovery is a process of creative perception and communication, dealing with questions like: how do we significantly reduce information while maintaining meaning, or how do we extract patterns from massive data and growing data resources. Originating from the SIGCHI Workshop on Ambient Intelligence for Scientific Discovery, this state-of-the-art survey is organized in three parts: new paradigms in scientific discovery, ambient cognition, and ambient intelligence systems. Many chapters share common features such as interaction, vision, language, and biomedicine.

Ambient Intelligence refers to smart electronic environments that are sensitive and responsive to the presence of people. Since its introduction in the late 1990s, this vision has matured, having become quite influential in the development of new concepts for information processing as well as combining multi-disciplinary fields including computer science, electrical engineering, industrial design, architectural design, user interfaces, and cognitive science. Originating from the Workshop on Ambient Intelligence in Everyday Life held at the Miramar Congress Center, San Sebastian, Spain, in July 2005, this book is devoted to the cognitive aspects of ambient intelligence. The 15 carefully reviewed and revised articles presented are organized in topical sections on human-centric computing, ambient interfaces, and architectures for ambient intelligence.

Innovative methods for discovering patterns in multimedia data are explored, focusing on affordable devices like mobile phones and wearables for personal health monitoring and diagnosis. This comprehensive textbook serves as a resource for multidisciplinary innovations in affordable healthcare, covering topics such as sensory fusion, pattern detection, and classification. It aims to enhance understanding of how everyday technology can contribute to health-related insights and advancements.

This book attempts to connect artificial intelligence to primitive intelligence. It explores the idea that a genuinely intelligent computer will be able to interact naturally with humans. To form this bridge, computers need the ability to recognize, understand and even have instincts similar to humans. The author organizes the book into three parts. He starts by describing primitive problem-solving, discussing topics like default mode, learning, tool-making, pheromones and foraging. Part two then explores behavioral models of instinctive cognition by looking at the perception of motion and event patterns, appearance and gesture, behavioral dynamics, figurative thinking, and creativity. The book concludes by exploring instinctive computing in modern cybernetics, including models of self-awareness, stealth, visual privacy, navigation, autonomy, and survivability. Instinctive Computing reflects upon systematic thinking for designing cyber-physical systems and it would be a stimulating reading for those who are interested in artificial intelligence, cybernetics, ethology, human-computer interaction, data science, computer science, security and privacy, social media, or autonomous robots.

This book constitutes the thoroughly refereed proceedings of the 12th International Conference on Web and Internet Economics, WINE 2016, held in Montreal, QC, Canada, in December 2016. The 35 regular papers presented together with 3 invited talks were carefully reviewed and selected from 88 submissions. The Conference on Web and Internet Economics (WINE) is an interdisciplinary forum for the exchange of ideas and results on incentives and computation arising from the following fields: Theoretical Computer Science, Artificial Intelligence, and Microeconomics.

Simplicity in nature is the ultimate sophistication. The world's magnificence has been enriched by the inner drive of instincts, the profound drive of our everyday life. Instinct is an inherited behavior that responds to environmental stimuli. Instinctive computing is a computational simulation of biological and cognitive instincts, which influence how we see, feel, appear, think and act. If we want a computer to be genuinely secure, intelligent, and to interact naturally with us, we must give computers the ability to recognize, understand, and even to have primitive instincts. This book, Computing with Instincts, comprises the proceedings of the Instinctive Computing Workshop held at Carnegie Mellon University in the summer of 2009. It is the first state-of-the-art survey on this subject. The book consists of three parts: Instinctive Sensing, Communication and Environments, including new experiments with in vitro biological neurons for the control of mobile robots, instinctive sound recognition, texture vision, visual abstraction, genre in cultures, human interaction with virtual world, intuitive interfaces, exploitive interaction, and agents for smart environments.