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Artificial Intelligence and Economic Theory: Skynet in the Market / by Tshilidzi Marwala, Evan Hurwitz.

SpringerLink Books Computer Science (2011-2024) Available online

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Format:
Book
Author/Creator:
Marwala, Tshilidzi, 1971- author.
Hurwitz, Evan, author.
Contributor:
SpringerLink (Online service)
Series:
Computer Science (Springer-11645)
Advanced information and knowledge processing 1610-3947
Advanced Information and Knowledge Processing, 1610-3947
Language:
English
Subjects (All):
Artificial intelligence.
Computers.
Economics.
Artificial Intelligence.
Models and Principles.
Economic Theory/Quantitative Economics/Mathematical Methods.
Local Subjects:
Artificial Intelligence.
Models and Principles.
Economic Theory/Quantitative Economics/Mathematical Methods.
Physical Description:
1 online resource (XII, 204 pages) : 67 illustrations.
Edition:
First edition 2017.
Contained In:
Springer eBooks
Place of Publication:
Cham : Springer International Publishing : Imprint: Springer, 2017.
System Details:
text file PDF
Summary:
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.
Contents:
Introduction to Man and Machines
Supply and Demand
Rational Choice and Rational Expectations
Bounded Rationality
Behavioral Economics
Information Asymmetry
Game Theory
Pricing
Efficient Market Hypothesis
Mechanism Design
Portfolio Theory
Counterfactuals
Financial Engineering
Causality
Future Work
Appendices
Index.
Other Format:
Printed edition:
ISBN:
978-3-319-66104-9
9783319661049
Access Restriction:
Restricted for use by site license.

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