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Titlebook: Artificial Intelligence and Economic Theory: Skynet in the Market; Tshilidzi Marwala,Evan Hurwitz Book 2017 Springer International Publish

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期刊全稱Artificial Intelligence and Economic Theory: Skynet in the Market
影響因子2023Tshilidzi Marwala,Evan Hurwitz
視頻videohttp://file.papertrans.cn/163/162196/162196.mp4
發(fā)行地址Reviews how Nobel Prize winning economic ideas are revolutionized by artificial intelligence.Enriches understanding of the financial markets in the age of artificial intelligence.Treats both theoretic
學(xué)科分類Advanced Information and Knowledge Processing
圖書封面Titlebook: Artificial Intelligence and Economic Theory: Skynet in the Market;  Tshilidzi Marwala,Evan Hurwitz Book 2017 Springer International Publish
影響因子.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 optimizatio
Pindex Book 2017
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Game Theory,called Nash equilibrium. The advent of artificial intelligence makes intelligent multi-agent games possible. This enriches the ability to simulate complex games. In this chapter, intelligent multi-agent system is applied to study the game of Lerpa.
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Tripti Pande,Sanjana,Mudasir M. Rathery ought to use all the information available and consider all the options available to select an optimal choice. This chapter investigates what happens when decisions are made by artificial intelligent machines in the market rather than human beings. Firstly, the expectations of the future are more
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