The Next Step Ypa

This book constitutes the refereed proceedings of the Second German Conference on Multiagent Systems Technologies, MATES 2004, held in Erfurt, Germany, in September 2004. The 22 revised full papers presented together with 2 invited papers were carefully reviewed and selected from 60 submissions. The papers are organized in topical sections on learning and social agents, analysis and security, negotiation and control, agents and software engineering, simulation and agents, and policies and testing.

In the first political analysis of unemployment in a socialist country, Susan Woodward argues that the bloody conflicts that are destroying Yugoslavia stem not so much from ancient ethnic hatreds as from the political and social divisions created by a failed socialist program to prevent capitalist joblessness. Under Communism the concept of socialist unemployment was considered an oxymoron; when it appeared in postwar Yugoslavia, it was dismissed as illusory or as a transitory consequence of Yugoslavia's unorthodox experiments with worker-managed firms. In Woodward's view, however, it was only a matter of time before countries in the former Soviet bloc caught up with Yugoslavia, confronting the same unintended consequences of economic reforms required to bring socialist states into the world economy. By 1985, Yugoslavia's unemployment rate had risen to 15 percent. How was it that a labor-oriented government managed to tolerate so clear a violation of the socialist commitment to full employment? Proposing a politically based model to explain this paradox, Woodward analyzes the ideology of economic growth, and shows that international constraints, rather than organized political pressures, defined government policy. She argues that unemployment became politically "invisible," owing to its redefinition in terms of guaranteed subsistence and political exclusion, with the result that it corrupted and ultimately dissolved the authority of all political institutions. Forced to balance domestic policies aimed at sustaining minimum standards of living and achieving productivity growth against the conflicting demands of the world economy and national security, the leadership inadvertently recreated the social relations of agrarian communities within a postindustrial society.

ARTIFICIAL INTELLIGENCE AND QUANTUM COMPUTING FOR ADVANCED WIRELESS NETWORKS A comprehensive presentation of the implementation of artificial intelligence and quantum computing technology in large-scale communication networks Increasingly dense and flexible wireless networks require the use of artificial intelligence (AI) for planning network deployment, optimization, and dynamic control. Machine learning algorithms are now often used to predict traffic and network state in order to reserve resources for smooth communication with high reliability and low latency. In Artificial Intelligence and Quantum Computing for Advanced Wireless Networks, the authors deliver a practical and timely review of AI-based learning algorithms, with several case studies in both Python and R. The book discusses the game-theory-based learning algorithms used in decision making, along with various specific applications in wireless networks, like channel, network state, and traffic prediction. Additional chapters include Fundamentals of ML, Artificial Neural Networks (NN), Explainable and Graph NN, Learning Equilibria and Games, AI Algorithms in Networks, Fundamentals of Quantum Communications, Quantum Channel, Information Theory and Error Correction, Quantum Optimization Theory, and Quantum Internet, to name a few. The authors offer readers an intuitive and accessible path from basic topics on machine learning through advanced concepts and techniques in quantum networks. Readers will benefit from: A thorough introduction to the fundamentals of machine learning algorithms, including linear and logistic regression, decision trees, random forests, bagging, boosting, and support vector machines An exploration of artificial neural networks, including multilayer neural networks, training and backpropagation, FIR architecture spatial-temporal representations, quantum ML, quantum information theory, fundamentals of quantum internet, and more Discussions of explainable neural networks and XAI Examinations of graph neural networks, including learning algorithms and linear and nonlinear GNNs in both classical and quantum computing technology Perfect for network engineers, researchers, and graduate and masters students in computer science and electrical engineering, Artificial Intelligence and Quantum Computing for Advanced Wireless Networks is also an indispensable resource for IT support staff, along with policymakers and regulators who work in technology.

[Administration (référence électronique)].

This classic book (volume two of three volumes) is almost exclusively concerned with quantum electrodynamics. As such, it is retrospective in its subject matter. The topics discussed range from anomalous magnetic moments and vacuum polarization, in a variety of applications, to the energy level displacements in hydrogenic atoms, with occasional excursions into nuclear and high-energy physics. Based as it is upon the conceptually and computationally simple foundations of source theory, little in the way of formal mathematical apparatus is required, and thus most of the book is devoted to the working out of physical problems.