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This book constitutes the refereed proceedings of the 14th International Conference on Practical Applications of Scalable Multi-agent Systems, PAAMS 2016, held in Sevilla, Spain, in June 2016. The 9 revised full papers, 10 short papers, and 16 Demo papers were carefully reviewed and selected from 58 submissions (39 full paper and 19 Demo paper submissions. The papers report on the application and validation of agent-based models, methods, and technologies in a number of key application areas, including day life and real world, energy and networks, human and trust, markets and bids, models and tools, negotiation and conversation, scalability and resources. .

Computer science. --- Artificial intelligence. --- Computer simulation. --- Application software. --- Computer Science. --- Artificial Intelligence (incl. Robotics). --- Simulation and Modeling. --- Computer Applications. --- Information Systems Applications (incl. Internet). --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- Computer modeling --- Computer models --- Modeling, Computer --- Models, Computer --- Simulation, Computer --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Informatics --- Computer software --- Electromechanical analogies --- Mathematical models --- Simulation methods --- Model-integrated computing --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Fifth generation computers --- Neural computers --- Science --- Artificial Intelligence. --- Multiagent systems

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This book constitutes the proceedings of the 16th International Conference on Practical Applications of Agents and Multi-Agent Systems, PAAMS 2018, held in Toledo, Spain, in June 2018. The 20 regular and 19 demo papers presented in this volume were carefully reviewed and selected from 57 submissions. They deal with the application and validation of agent-based models, methods, and technologies in a number of key applications areas, such as: energy and security; engineering and tools; evaluation and ethics; negotiation and organisations; personalization and learning; simulation applications; simulation platforms; social networks and humans. The book also contains two invited talks in full paper length. .

Computer science. --- Computer organization. --- Software engineering. --- Algorithms. --- Artificial intelligence. --- Computer Science. --- Artificial Intelligence (incl. Robotics). --- Software Engineering. --- Computer Systems Organization and Communication Networks. --- Information Systems Applications (incl. Internet). --- Algorithm Analysis and Problem Complexity. --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Algorism --- Algebra --- Arithmetic --- Computer software engineering --- Engineering --- Organization, Computer --- Electronic digital computers --- Informatics --- Science --- Foundations --- Computer network architectures. --- Computer software. --- Artificial Intelligence. --- Software, Computer --- Computer systems --- Architectures, Computer network --- Network architectures, Computer --- Computer architecture --- Application software. --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- Computer software

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This book constitutes the refereed proceedings of the 11th International Conference on Practical Applications of Agents and Multi-Agent Systems, PAAMS 2013, held in Salamanca, Spain, in May 2013. The 14 revised full papers and 9 short papers presented together with 16 demonstrations were carefully reviewed and selected from 70 submissions. The papers report on the application and validation of agent-based models, methods, and technologies in a number of key application areas, including: agents for real world problems; crowd modeling and analysis; decision making and discovery; interaction with artificial agents; mobility, ubiquity and clouds; (multi-)agent design technology; and simulation and organization.

Computer assisted instruction --- Teaching --- Computer science --- Information systems --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- vormgeving --- computers --- informatica --- maatschappij --- onderwijs --- mineralen (chemie) --- computerondersteund onderwijs --- simulaties --- mijnbouw --- KI (kunstmatige intelligentie) --- computerkunde --- robots --- AI (artificiële intelligentie)

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The rapid development of advanced, arguably, intelligent sensors and their massive deployment provide a foundation for new paradigms to combat the challenges that arise in significant tasks such as positioning, tracking, navigation, and smart sensing in various environments. Relevant advances in artificial intelligence (AI) and machine learning (ML) are also finding rapid adoption by industry and fan the fire. Consequently, research on intelligent sensing systems and technologies has attracted considerable attention during the past decade, leading to a variety of effective applications related to intelligent transportation, autonomous vehicles, wearable computing, wireless sensor networks (WSN), and the internet of things (IoT). In particular, the sensors community has a great interest in novel, intelligent information fusion, and data mining methods coupling AI and ML for substantial performance enhancement, especially for the challenging scenarios that make traditional approaches inappropriate. This reprint book has collected 14 excellent papers that represent state-of-the-art achievements in the relevant topics and provides cutting-edge coverage of recent advances in sensor signal and data mining techniques, algorithms, and approaches, particularly applied for positioning, tracking, navigation, and smart sensing.

History of engineering & technology --- clustering --- data fusion --- target detection --- Grey Wolf Optimizer --- Fireworks Algorithm --- hybrid algorithm --- exploitation and exploration --- GNSS --- MIMU --- odometer --- state constraints --- simultaneous localization and mapping (SLAM) --- range-only SLAM --- sum of Gaussian (SoG) filter --- cooperative approach --- automatic fare collection system --- passenger flow forecasting --- time series decomposition --- singular spectrum analysis --- ensemble learning --- extreme learning machine --- wheeled mobile robot --- path panning --- laser simulator --- fuzzy logic --- laser range finder --- Wi-Fi camera --- sensor fusion --- local map --- odometry --- deep learning --- softmax --- decision-making --- classification --- sensor data --- Internet of Things --- extended target tracking --- gamma-Gaussian-inverse Wishart --- Poisson multi-Bernoulli mixture --- 5G IoT --- indoor positioning --- tracking --- localization --- navigation --- positioning accuracy --- single access point positioning --- fuzzy inference --- calibration --- car-following --- Takagi–Sugeno --- Kalman filter --- microscopic traffic model --- continuous-time model --- LoRa --- positioning --- LoRaWAN --- TDoA --- map matching --- compass --- automotive LFMCW radar --- radial velocity --- lateral velocity --- Doppler-frequency estimation --- waveform --- signal model --- tensor modeling --- smart community system --- power efficiency --- object-detection coprocessor --- histogram of oriented gradient --- support vector machine --- block-level once sliding detection window --- multi-shape detection-window

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The rapid development of advanced, arguably, intelligent sensors and their massive deployment provide a foundation for new paradigms to combat the challenges that arise in significant tasks such as positioning, tracking, navigation, and smart sensing in various environments. Relevant advances in artificial intelligence (AI) and machine learning (ML) are also finding rapid adoption by industry and fan the fire. Consequently, research on intelligent sensing systems and technologies has attracted considerable attention during the past decade, leading to a variety of effective applications related to intelligent transportation, autonomous vehicles, wearable computing, wireless sensor networks (WSN), and the internet of things (IoT). In particular, the sensors community has a great interest in novel, intelligent information fusion, and data mining methods coupling AI and ML for substantial performance enhancement, especially for the challenging scenarios that make traditional approaches inappropriate. This reprint book has collected 14 excellent papers that represent state-of-the-art achievements in the relevant topics and provides cutting-edge coverage of recent advances in sensor signal and data mining techniques, algorithms, and approaches, particularly applied for positioning, tracking, navigation, and smart sensing.

History of engineering & technology --- clustering --- data fusion --- target detection --- Grey Wolf Optimizer --- Fireworks Algorithm --- hybrid algorithm --- exploitation and exploration --- GNSS --- MIMU --- odometer --- state constraints --- simultaneous localization and mapping (SLAM) --- range-only SLAM --- sum of Gaussian (SoG) filter --- cooperative approach --- automatic fare collection system --- passenger flow forecasting --- time series decomposition --- singular spectrum analysis --- ensemble learning --- extreme learning machine --- wheeled mobile robot --- path panning --- laser simulator --- fuzzy logic --- laser range finder --- Wi-Fi camera --- sensor fusion --- local map --- odometry --- deep learning --- softmax --- decision-making --- classification --- sensor data --- Internet of Things --- extended target tracking --- gamma-Gaussian-inverse Wishart --- Poisson multi-Bernoulli mixture --- 5G IoT --- indoor positioning --- tracking --- localization --- navigation --- positioning accuracy --- single access point positioning --- fuzzy inference --- calibration --- car-following --- Takagi–Sugeno --- Kalman filter --- microscopic traffic model --- continuous-time model --- LoRa --- positioning --- LoRaWAN --- TDoA --- map matching --- compass --- automotive LFMCW radar --- radial velocity --- lateral velocity --- Doppler-frequency estimation --- waveform --- signal model --- tensor modeling --- smart community system --- power efficiency --- object-detection coprocessor --- histogram of oriented gradient --- support vector machine --- block-level once sliding detection window --- multi-shape detection-window