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Web3 and DeFi are widely advocated as innovations for greater financial inclusion and democratization. We assemble the most comprehensive dataset to date on the largest Web3 ecosystem and use large-scale computing to conduct an initial investigation. We describe Ethereum's network structure, time trends, and distributions of transactions, mining, and ownership. Mining income and Ether ownership are concentrated in exchanges and a few individual nodes. Network activities evolve from peer-to-peer to user-DApps/DeFi interactions, with significantly more transactions by large players. Moreover, high percentage transaction fees, congestion-induced fluctuation of gas prices, suboptimal reserve setting, and large return volatility of tokens present particular challenges for small, poor, unsophisticated, and new nodes, not to mention that the high failure rates hurt all users. Finally, we present suggestive causal evidence that base-fee burning mechanisms (e.g., EIP-1559) and airdrop programs (e.g., OmiseGo Airdrop) facilitate inclusion through token monetary redistribution.

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This book constitutes the refereed proceedings of the 11th International Conference on Simulated Evolution and Learning, SEAL 2017, held in Shenzhen, China, in November 2017.  The 85 papers presented in this volume were carefully reviewed and selected from 145 submissions. They were organized in topical sections named: evolutionary optimisation; evolutionary multiobjective optimisation; evolutionary machine learning; theoretical developments; feature selection and dimensionality reduction; dynamic and uncertain environments; real-world applications; adaptive systems; and swarm intelligence.

Computer science. --- Computer communication systems. --- Computers. --- Algorithms. --- Artificial intelligence. --- Computer simulation. --- Computer Science. --- Computation by Abstract Devices. --- Artificial Intelligence (incl. Robotics). --- Algorithm Analysis and Problem Complexity. --- Models and Principles. --- Computer Communication Networks. --- Simulation and Modeling. --- 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 --- Algorism --- Automatic computers --- Automatic data processors --- Computer hardware --- Computing machines (Computers) --- Electronic calculating-machines --- Electronic computers --- Hardware, Computer --- Communication systems, Computer --- Computer communication systems --- Data networks, Computer --- ECNs (Electronic communication networks) --- Electronic communication networks --- Networks, Computer --- Teleprocessing networks --- Informatics --- Computer software. --- Artificial Intelligence. --- Electromechanical analogies --- Mathematical models --- Simulation methods --- Model-integrated computing --- Science --- Software, Computer --- Computer systems --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Fifth generation computers --- Neural computers --- Data transmission systems --- Digital communications --- Electronic systems --- Information networks --- Telecommunication --- Cyberinfrastructure --- Network computers --- Algebra --- Arithmetic --- Cybernetics --- Calculators --- Cyberspace --- Distributed processing --- Foundations --- Artificial intelligence --- Computer simulation --- Evolutionary programming (Computer science) --- Computer networks. --- Theory of Computation. --- Models of Computation. --- Computer Modelling.

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Computer assisted instruction --- Programming --- Information systems --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- computervisie --- datamining --- computerondersteund onderwijs --- programmeren (informatica) --- software engineering --- data acquisition

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This book constitutes the refereed proceedings of the 22nd International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2021, which took place during November 25-27, 2021. The conference was originally planned to take place in Manchester, UK, but was held virtually due to the COVID-19 pandemic. The 61 full papers included in this book were carefully reviewed and selected from 85 submissions. They deal with emerging and challenging topics in intelligent data analytics and associated machine learning paradigms and systems. Special sessions were held on clustering for interpretable machine learning; machine learning towards smarter multimodal systems; and computational intelligence for computer vision and image processing.

Computer assisted instruction --- Programming --- Information systems --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- computervisie --- datamining --- computerondersteund onderwijs --- programmeren (informatica) --- software engineering --- data acquisition