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Public finance --- Flanders

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Public finance --- Space research --- astronomie --- Flanders

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Private finance --- Industrial economics --- Firms and enterprises --- Germany --- Netherlands

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Public finance review is a scholarly economics journal for the study of the public sector of the economy.

Public finance --- Finance, Public --- Finances publiques --- Periodicals --- Périodiques --- Finance, Public. --- Social Sciences --- Developmental Issues & Socioeconomic Studies --- Public Policy & Administration --- Business, Economy and Management --- Finance --- Social Sciences. --- Public Policy & Administration. --- Périodiques --- EJECONO EJGESTI EPUB-ALPHA-P EPUB-PER-FT SAGE-E --- Cameralistics --- Currency question --- Public finances --- Droit

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A fundamental objective of Artificial Intelligence (AI) is the creation of in­ telligent computer programs. In more modest terms AI is simply con­ cerned with expanding the repertoire of computer applications into new domains and to new levels of efficiency. The motivation for this effort comes from many sources. At a practical level there is always a demand for achieving things in more efficient ways. Equally, there is the technical challenge of building programs that allow a machine to do something a machine has never done before. Both of these desires are contained within AI and both provide the inspirational force behind its development. In terms of satisfying both of these desires there can be no better example than machine learning. Machines that can learn have an in-built effi­ ciency. The same software can be applied in many applications and in many circumstances. The machine can adapt its behaviour so as to meet the demands of new, or changing, environments without the need for costly re-programming. In addition, a machine that can learn can be ap­ plied in new domains with the genuine potential for innovation. In this sense a machine that can learn can be applied in areas where little is known about possible causal relationships, and even in circumstances where causal relationships are judged not to exist. This last aspect is of major significance when considering machine learning as applied to fi­ nancial forecasting.

Finance --- Time-series analysis --- Artificial intelligence --- Neural networks (Computer science) --- Genetic Algorithms --- Fuzzy logic --- Decision making --- Data processing --- Mathematical models --- Artificial intelligence. Robotics. Simulation. Graphics --- Artificial intelligence. --- Special purpose computers. --- Public finance. --- Finance. --- Artificial Intelligence. --- Special Purpose and Application-Based Systems. --- Public Economics. --- Finance, general. --- Funding --- Funds --- Economics --- Currency question --- Cameralistics --- Public finance --- Public finances --- Special purpose computers --- Computers --- 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 --- Finance - Decision making - Data processing --- Finance - Mathematical models