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Artificial Intelligence, Learning and Computation in Economics and Finance
Engelsk Hardback
SPAR
kr 320
Artificial Intelligence, Learning and Computation in Economics and Finance
Engelsk Hardback

This book presents frontier research on the use of computational methods to model complex interactions in economics and finance. Artificial Intelligence, Machine Learning and simulations offer effective means of analyzing and learning from large as well as new types of data. These computational tools have permeated various subfields of economics, finance, and also across different schools of economic thought. Through 16 chapters written by pioneers in economics, finance, computer science, psychology, complexity and statistics/econometrics, the book introduces their original research and presents the findings they have yielded.

Theoretical and empirical studies featured in this book draw on a variety of approaches such as agent-based modeling, numerical simulations, computable economics, as well as employing tools from artificial intelligence and machine learning algorithms. The use of computational approaches to perform counterfactual thought experiments are also introduced, which help transcend the limits posed by traditional mathematical and statistical tools.

The book also includes discussions on methodology, epistemology, history and issues concerning prediction, validation, and inference, all of which have become pertinent with the increasing use of computational approaches in economic analysis.


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This book presents frontier research on the use of computational methods to model complex interactions in economics and finance. Artificial Intelligence, Machine Learning and simulations offer effective means of analyzing and learning from large as well as new types of data. These computational tools have permeated various subfields of economics, finance, and also across different schools of economic thought. Through 16 chapters written by pioneers in economics, finance, computer science, psychology, complexity and statistics/econometrics, the book introduces their original research and presents the findings they have yielded.

Theoretical and empirical studies featured in this book draw on a variety of approaches such as agent-based modeling, numerical simulations, computable economics, as well as employing tools from artificial intelligence and machine learning algorithms. The use of computational approaches to perform counterfactual thought experiments are also introduced, which help transcend the limits posed by traditional mathematical and statistical tools.

The book also includes discussions on methodology, epistemology, history and issues concerning prediction, validation, and inference, all of which have become pertinent with the increasing use of computational approaches in economic analysis.


Produktdetaljer
Sprog: Engelsk
Sider: 325
ISBN-13: 9783031152931
Indbinding: Hardback
Udgave:
ISBN-10: 303115293X
Kategori: Machine learning
Udg. Dato: 16 feb 2023
Længde: 27mm
Bredde: 163mm
Højde: 243mm
Oplagsdato: 16 feb 2023
Forfatter(e):
Forfatter(e)


Kategori Machine learning


Sprog Engelsk


Indbinding Hardback


Sider 325


Udgave


Længde 27mm


Bredde 163mm


Højde 243mm

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