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Artificial Intelligence And Economic Theory: Skynet In The Market eBook

by Evan Hurwitz e Tshilidzi Marwala
language: english
Publisher: Springer International Publishing, September of 2017 ‧
171,59€
137,27€
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This book theoretically and practically updates major economic ideas such as demand and supply, rational choice and expectations, bounded rationality, behavioral economics, information asymmetry, pricing, efficient market hypothesis, game theory, mechanism design, portfolio theory, causality and financial engineering in the age of significant advances in man-machine systems. The advent of artificial intelligence has changed many disciplines such as engineering, social science and economics. Artificial intelligence is a computational technique which is inspired by natural intelligence concepts such as the swarming of birds, the working of the brain and the pathfinding of the ants.

Artificial Intelligence and Economic Theory: Skynet in the Market analyses the impact of artificial intelligence on economic theories, a subject that has not been studied. It also introduces new economic theories and these are rational counterfactuals and rational opportunity costs. These ideas are applied to diverse areas such as modelling of the stock market, credit scoring, HIV and interstate conflict. Artificial intelligence ideas used in this book include neural networks, particle swarm optimization, simulated annealing, fuzzy logic and genetic algorithms. It, furthermore, explores ideas in causality including Granger as well as the Pearl causality models.

Artificial Intelligence And Economic Theory: Skynet In The Market

by Evan Hurwitz e Tshilidzi Marwala

Property Description
ISBN: 9783319661049
Publisher: Springer International Publishing
Release Date: September of 2017
Language: English
Format: eBook
File Format and Compatibility:
Collection: Advanced Information And Knowledge Processing
Categories: eBooks in English > Economics, Finance and Accounting > Economy
eBooks in English > Computing > Other Applications
EAN: 9783319661049
Acessibilidade: Ver características de acessibilidade indicadas pelo editor

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