Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

These transactions publish research in computer-based methods of computational collective intelligence (CCI) and their applications in a wide range of fields such as the Semantic Web, social networks, and multi-agent systems. TCCI strives to cover new methodological, theoretical and practical aspects of CCI understood as the form of intelligence that emerges from the collaboration and competition of many individuals (artificial and/or natural). The application of multiple computational intelligence technologies, such as fuzzy systems, evolutionary computation, neural systems, consensus theory, etc., aims to support human and other collective intelligence and to create new forms of CCI in natural and/or artificial systems. This 15special issue is dedicated to the International Conference on Practical Applications on Agents and Multi-Agent Systems (PAAMS 2012 and PAAMS 2013) held in Salamanca, Spain.

Computer science. --- Computers. --- Artificial intelligence. --- Computer simulation. --- Computational intelligence. --- Computer Science. --- Artificial Intelligence (incl. Robotics). --- Computational Intelligence. --- Simulation and Modeling. --- Information Systems and Communication Service. --- Informatics --- Science --- Intelligence, Computational --- Artificial intelligence --- Soft computing --- Computer modeling --- Computer models --- Modeling, Computer --- Models, Computer --- Simulation, Computer --- Electromechanical analogies --- Mathematical models --- Simulation methods --- Model-integrated computing --- 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 --- Fifth generation computers --- Neural computers --- Automatic computers --- Automatic data processors --- Computer hardware --- Computing machines (Computers) --- Electronic calculating-machines --- Electronic computers --- Hardware, Computer --- Computer systems --- Cybernetics --- Calculators --- Cyberspace --- Engineering. --- Information systems. --- Artificial Intelligence. --- Construction --- Industrial arts --- Technology --- Swarm intelligence

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

This book constitutes the refereed proceedings of the 15th International Conference on Practical Applications of Scalable Multi-Agent Systems, PAAMS 2017, held in Porto, Portugal, in June 2017. The 11 revised full papers, 11 short papers, and 17 Demo papers were carefully reviewed and selected from 63 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. --- Computer communication systems. --- Special purpose computers. --- Artificial intelligence. --- Application software. --- Computer Science. --- Artificial Intelligence (incl. Robotics). --- Computer Communication Networks. --- Special Purpose and Application-Based Systems. --- Computer Applications. --- Information Systems Applications (incl. Internet). --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Special purpose computers --- Communication systems, Computer --- Computer communication systems --- Data networks, Computer --- ECNs (Electronic communication networks) --- Electronic communication networks --- Networks, Computer --- Teleprocessing networks --- Informatics --- Computer software --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Computers --- Data transmission systems --- Digital communications --- Electronic systems --- Information networks --- Telecommunication --- Cyberinfrastructure --- Network computers --- Science --- Distributed processing --- Software engineering. --- Artificial Intelligence. --- Computer software engineering --- Engineering --- Intelligent agents (Computer software) --- Conferences - Meetings --- Multiagent systems --- Agent-based model (Computer software) --- MASs (Multiagent systems) --- Multi-agent systems --- Systems, Multiagent

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

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

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

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

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

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