Name: Artificial Intelligence, Learning and Computation in Economics and Finance (en Inglés)
SKU: 57588760
Price: 154.44 USD
Availability: InStock
Author: Venkatachalam, Ragupathy
ISBN: 9783031152931

portada Artificial Intelligence, Learning and Computation in Economics and Finance (en Inglés)

Artificial Intelligence, Learning and Computation in Economics and Finance (en Inglés)

Formato

Libro Físico

Editorial

Springer

Autor

Venkatachalam, Ragupathy

Idioma

Inglés

N° páginas

325

Encuadernación

Tapa Dura

Dimensiones

23.4x15.6x2.1 cm

Peso

0.65 kg.

ISBN13

9783031152931

Categorías

Física matemática
Ingeniería: general
Ciencias de la computación

Artificial Intelligence, Learning and Computation in Economics and Finance (en Inglés)

Venkatachalam, Ragupathy (Autor) · Springer · Tapa Dura

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Reseña del libro "Artificial Intelligence, Learning and Computation in Economics and Finance (en Inglés)"

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.