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Robots are becoming more human, but could they also become sentient and have human-like consciousness?What is consciousness, exactly?It is a fact that our thoughts and consciousness are based on the neural activity of the brain. It is also a fact that we do not perceive our brain activity as it really is - patterns of neural firings. Instead, we perceive our sensations and thoughts apparently as they are. What kind of condition would transform the neural activity into this kind of internal appearance? This is the basic problem of consciousness.The author proposes an explanation that also provi
Conscious automata. --- Robotics. --- Automation --- Machine theory --- Artificial consciousness --- Electronic brains --- Intelligent machines --- Mechanical brains --- Synthetic consciousness --- Bionics --- Consciousness --- Cybernetics --- Biocomputers --- Perceptrons --- Conscious automata --- E-books
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Artificial intelligence. --- Conscious automata. --- Cognitive science. --- Intelligence artificielle --- Machines intelligentes --- Sciences cognitives --- Artificial intelligence --- Cognitive science --- Conscious automata --- Artificial consciousness --- Electronic brains --- Intelligent machines --- Mechanical brains --- Synthetic consciousness --- Bionics --- Consciousness --- Cybernetics --- Biocomputers --- Perceptrons --- Science --- Philosophy of mind --- AI (Artificial intelligence) --- Artificial thinking --- Intellectronics --- Intelligence, Artificial --- Machine intelligence --- Thinking, Artificial --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers
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The idea that human history is approaching a "singularity"-that ordinary humans will someday be overtaken by artificially intelligent machines or cognitively enhanced biological intelligence, or both-has moved from the realm of science fiction to serious debate. Some singularity theorists predict that if the field of artificial intelligence (AI) continues to develop at its current dizzying rate, the singularity could come about in the middle of the present century. Murray Shanahan offers an introduction to the idea of the singularity and considers the ramifications of such a potentially seismic event. Shanahan's aim is not to make predictions but rather to investigate a range of scenarios. Whether we believe that singularity is near or far, likely or impossible, apocalypse or utopia, the very idea raises crucial philosophical and pragmatic questions, forcing us to think seriously about what we want as a species. Shanahan describes technological advances in AI, both biologically inspired and engineered from scratch. Once human-level AI-theoretically possible, but difficult to accomplish-has been achieved, he explains, the transition to superintelligent AI could be very rapid. Shanahan considers what the existence of superintelligent machines could mean for such matters as personhood, responsibility, rights, and identity. Some superhuman AI agents might be created to benefit humankind; some might go rogue. (Is Siri the template, or HAL?) The singularity presents both an existential threat to humanity and an existential opportunity for humanity to transcend its limitations. Shanahan makes it clear that we need to imagine both possibilities if we want to bring about the better outcome.
Artificial intelligence --- Technology --- Conscious automata. --- Brain --- Cerebrum --- Mind --- Central nervous system --- Head --- Artificial consciousness --- Electronic brains --- Intelligent machines --- Mechanical brains --- Synthetic consciousness --- Bionics --- Consciousness --- Cybernetics --- Biocomputers --- Perceptrons --- AI (Artificial intelligence) --- Artificial thinking --- Intellectronics --- Intelligence, Artificial --- Machine intelligence --- Thinking, Artificial --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Forecasting. --- Psychological aspects. --- Social aspects. --- Computer simulation. --- COGNITIVE SCIENCES/General --- COMPUTER SCIENCE/Artificial Intelligence --- Philosophy and psychology of culture
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Autonomous intelligent vehicles pose unique challenges in robotics, that encompass issues of environment perception and modeling, localization and map building, path planning and decision-making, and motion control. This important text/reference presents state-of-the-art research on intelligent vehicles, covering not only topics of object/obstacle detection and recognition, but also aspects of vehicle motion control. With an emphasis on both high-level concepts, and practical detail, the text links theory, algorithms, and issues of hardware and software implementation in intelligent vehicle research. Topics and features: Presents a thorough introduction to the development and latest progress in intelligent vehicle research, and proposes a basic framework Provides detection and tracking algorithms for structured and unstructured roads, as well as on-road vehicle detection and tracking algorithms using boosted Gabor features Discusses an approach for multiple sensor-based multiple-object tracking, in addition to an integrated DGPS/IMU positioning approach Examines a vehicle navigation approach using global views Introduces algorithms for lateral and longitudinal vehicle motion control An essential reference for researchers in the field, the broad coverage of all aspects of this research will also appeal to graduate students of computer science and robotics who are interested in intelligent vehicles. Dr. Hong Cheng is Professor in the School of Automation Engineering, and Director of the Pattern Recognition and Machine Intelligence Institute at the University of Electronic Science and Technology of China.
Conscious automata. --- Intelligent control systems. --- Vehicles -- Automatic control. --- Vehicles, Remotely piloted. --- Intelligent control systems --- Vehicles --- Vehicles, Remotely piloted --- Conscious automata --- Engineering & Applied Sciences --- Mechanical Engineering --- Computer Science --- Mechanical Engineering - General --- Applied Physics --- Automatic control --- Automatic control. --- Artificial consciousness --- Electronic brains --- Intelligent machines --- Mechanical brains --- Synthetic consciousness --- Unmanned vehicles --- Intelligent control --- Intelligent controllers --- Radio control --- Bionics --- Consciousness --- Cybernetics --- Biocomputers --- Perceptrons --- Remote control --- Transportation --- Computer vision. --- Artificial intelligence. --- Optical pattern recognition. --- Image Processing and Computer Vision. --- Artificial Intelligence. --- Pattern Recognition. --- Optical data processing --- Pattern perception --- Visual discrimination --- AI (Artificial intelligence) --- Artificial thinking --- Intellectronics --- Intelligence, Artificial --- Machine intelligence --- Thinking, Artificial --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Machine vision --- Vision, Computer --- Artificial intelligence --- Image processing --- Pattern recognition systems --- Optical data processing. --- Pattern recognition. --- Design perception --- Pattern recognition --- Form perception --- Perception --- Figure-ground perception --- Optical computing --- Visual data processing --- Integrated optics --- Photonics --- Computers --- Optical equipment
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This thesis proposes an effective methodology for enhancing the perceptual capabilities and achieving interaction control of the iCub humanoid robot. The method is based on the integration of measurements from different sensors (force/torque, inertial and tactile sensors) distributed along the robot’s kinematic chain. Humanoid robots require a substantial amount of sensor information to create their own representations of the surrounding environment. Tactile perception is of primary importance for the exploration process. Also in humans, the tactile system is completely functional at birth. In humanoid robotics, the measurements of forces and torques that the robot exchanges with its surroundings are essential for safe interaction with the environment and with humans. The approach proposed in this thesis can successfully enhance the perceptual capabilities of robots by exploiting only a limited number of both localized and distributed sensors, providing a feasible and convenient solution for achieving active compliance control of humanoid robots. .
Cognition --- Conscious automata. --- Computer simulation. --- Artificial consciousness --- Electronic brains --- Intelligent machines --- Mechanical brains --- Synthetic consciousness --- Engineering. --- Artificial intelligence. --- Control engineering. --- Robotics. --- Automation. --- Control. --- Artificial Intelligence (incl. Robotics). --- Robotics and Automation. --- Automatic factories --- Automatic production --- Computer control --- Engineering cybernetics --- Factories --- Industrial engineering --- Mechanization --- Assembly-line methods --- Automatic control --- Automatic machinery --- CAD/CAM systems --- Robotics --- Automation --- Machine theory --- Control engineering --- Control equipment --- Control theory --- Engineering instruments --- Programmable controllers --- AI (Artificial intelligence) --- Artificial thinking --- Intellectronics --- Intelligence, Artificial --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Construction --- Industrial arts --- Technology --- Consciousness --- Cybernetics --- Biocomputers --- Perceptrons --- Psychology --- Control and Systems Theory. --- Artificial Intelligence. --- Robots --- Programming. --- Control systems.
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This book proposes a unifying approach for the analysis and design of artificial cognitive systems: The Anticipatory Approach. In 11 coherent chapters, the authors of this State-of-the-Art Survey propose a foundational view of the importance of dealing with the future, of gaining some autonomy from current environmental data, and of endogenously generating sensorimotor and abstract representations. A meaningful taxonomy for anticipatory cognitive mechanisms is put forward, which distinguishes between the types of predictions and the different influences of these predictions on actual behavior and learning. Thus a new unifying perspective on cognitive systems is given. The Anticipatory Approach described in this book will not only aid in the analysis of cognitive systems, but will also serve as an inspiration and guideline for the progressively more advanced and competent design of large, but modular, artificial cognitive systems.
Expectation (Psychology) --- Cognitive learning theory --- Cognitive neuroscience --- Brain --- Computer Science --- Mechanical Engineering - General --- Neuroscience --- Engineering & Applied Sciences --- Mechanical Engineering --- Human Anatomy & Physiology --- Health & Biological Sciences --- Mathematical models --- Information Technology --- Artificial Intelligence --- Artificial intelligence. --- Cognitive neuroscience. --- Conscious automata. --- Prediction (Logic) --- System design. --- Design, System --- Systems design --- Conjecture --- Artificial consciousness --- Electronic brains --- Intelligent machines --- Mechanical brains --- Synthetic consciousness --- Cognitive neuropsychology --- AI (Artificial intelligence) --- Artificial thinking --- Intellectronics --- Intelligence, Artificial --- Machine intelligence --- Thinking, Artificial --- Computer science. --- Computer programming. --- Mathematical statistics. --- Computers. --- User interfaces (Computer systems). --- Computer simulation. --- Computer Science. --- Artificial Intelligence (incl. Robotics). --- Programming Techniques. --- Simulation and Modeling. --- Models and Principles. --- Probability and Statistics in Computer Science. --- User Interfaces and Human Computer Interaction. --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Computer modeling --- Computer models --- Modeling, Computer --- Models, Computer --- Simulation, Computer --- Electromechanical analogies --- Model-integrated computing --- Interfaces, User (Computer systems) --- Human-machine systems --- Human-computer interaction --- Automatic computers --- Automatic data processors --- Computer hardware --- Computing machines (Computers) --- Electronic calculating-machines --- Electronic computers --- Hardware, Computer --- Computer systems --- Cybernetics --- Calculators --- Cyberspace --- Mathematics --- Statistical inference --- Statistics, Mathematical --- Statistics --- Probabilities --- Sampling (Statistics) --- Computers --- Electronic computer programming --- Electronic digital computers --- Programming (Electronic computers) --- Coding theory --- Informatics --- Science --- Statistical methods --- Programming --- System analysis --- Judgment (Logic) --- Consciousness --- Biocomputers --- Perceptrons --- Neuropsychology --- Artificial Intelligence. --- Mathematical models. --- Cognitive theory of learning --- Learning, Psychology of --- Motivation (Psychology) --- Models --- User interfaces (Computer systems)
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This book focuses on the design of Robotic Flexible Assembly Cell (RFAC) with multi-robots. Its main contribution consists of a new effective strategy for scheduling RFAC in a multi-product assembly environment, in which dynamic status and multi-objective optimization problems occur. The developed strategy, which is based on a combination of advanced solution approaches such as simulation, fuzzy logic, system modeling and the Taguchi optimization method, fills an important knowledge gap in the current literature and paves the way for future research towards the goal of employing flexible assembly systems as effectively as possible despite the complexity of their scheduling.
Computer Science --- Engineering & Applied Sciences --- Flexible manufacturing systems. --- Robots --- Conscious automata. --- Motion. --- Artificial consciousness --- Electronic brains --- Intelligent machines --- Mechanical brains --- Synthetic consciousness --- Movement of robots --- Robot motion --- Flexible production systems --- FMS (Production engineering) --- Manufacturing systems, Flexible --- Production systems, Flexible --- Engineering. --- Artificial intelligence. --- Computational intelligence. --- Robotics. --- Automation. --- Manufacturing industries. --- Machines. --- Tools. --- Computational Intelligence. --- Manufacturing, Machines, Tools. --- Robotics and Automation. --- Artificial Intelligence (incl. Robotics). --- Hand tools --- Handtools --- Hardware --- Implements, utensils, etc. --- Machinery --- Machines --- Manufactures --- Power (Mechanics) --- Technology --- Mechanical engineering --- Motors --- Power transmission --- Industries --- Automatic factories --- Automatic production --- Computer control --- Engineering cybernetics --- Factories --- Industrial engineering --- Mechanization --- Assembly-line methods --- Automatic control --- Automatic machinery --- CAD/CAM systems --- Robotics --- Automation --- Machine theory --- Intelligence, Computational --- Artificial intelligence --- Soft computing --- AI (Artificial intelligence) --- Artificial thinking --- Intellectronics --- Intelligence, Artificial --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Construction --- Industrial arts --- Curious devices --- Consciousness --- Cybernetics --- Biocomputers --- Perceptrons --- Motion --- Production engineering --- Computer integrated manufacturing systems --- Material requirements planning --- Manufactures. --- Manufacturing, Machines, Tools, Processes. --- Artificial Intelligence. --- Manufactured goods --- Manufactured products --- Products --- Products, Manufactured --- Commercial products --- Manufacturing industries
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