Understanding Complex Systems Artificial Intelligence, Learning and Computation in Economics and Finance, (Hardcover)
This book presents frontier research on the use of computational methods to model complex interactions in economics and finance.
Understanding Complex Systems Artificial Intelligence, Learning and Computation in Economics and Finance, (Hardcover)
Numéro d'article: 157283923

Understanding Complex Systems Artificial Intelligence, Learning and Computation in Economics and Finance, (Hardcover)

Numéro d'article: 157283923

XOF 117987

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This book presents frontier research on the use of computational methods to model complex interactions in economics and finance.
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Ce qui se démarque

Interdisciplinary Approach
Merges AI, learning, and computational methods with economic and financial theories, offering readers a comprehensive toolbox for understanding complex systems.
Practical Applications
Provides real-world case studies and applications, equipping professionals and researchers with insights to tackle contemporary economic and financial challenges using advanced AI techniques.
Expert Contributors
Compiled by renowned experts, ensuring high-quality content that reflects cutting-edge research and developments in both AI and economics, enhancing the reader's knowledge base significantly.

Détails du produit

Shop Understanding Complex Systems Artificial Intelligence, Learning and Computation in Economics and Finance, (Hardcover) online at a best price in Senegal. 1534149882
  • 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.
Book formatHardcover
Fiction/nonfictionNon-Fiction
GenreTextbooks
Publication dateFebruary, 2023
Pages325
SubgenrePhysics
Series titleUnderstanding Complex Systems
Edition2023 Edition
PublisherSpringer International Publishing
Original languagesEnglish
LanguageEnglish
Is collectibleN
EditorRagupathy Venkatachalam
Binding typeCase Binding
Recording time0 min
Retail packagingSingle Piece
Assembled product dimensions (l x w x h)6.14 x 0.81 x 9.21 in (15.6 x 2.1 x 23.4 cm)
Assembled product weight1.44 lb (650 grams)
Bisac subject headingScience

À qui est-ce destiné ?

Suitable For
  • Academics and Researchers

    Ideal for individuals conducting advanced studies in economics and finance, particularly in complex systems and AI integration.

  • Data Scientists

    Useful for data professionals focused on applying AI techniques to financial modeling and economic forecasting.

  • Policy Makers

    Beneficial for government officials or advisors seeking to understand economic systems influenced by advanced computational methods.

Not Suitable For
  • Beginners in AI

    Not suitable for novice readers unfamiliar with AI concepts, as the content requires prior knowledge and understanding.

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Questions et réponses des clients

  • question: What is the primary focus of this book?

    répondre: The book focuses on using computational methods to model and analyze complex interactions in the fields of economics and finance.
  • question: Who are the contributors to this book?

    répondre: The book features contributions from pioneers across various fields including economics, finance, computer science, psychology, and statistics.
  • question: What methodologies are discussed in the book?

    répondre: The book discusses methodologies such as agent-based modeling, numerical simulations, and the application of artificial intelligence and machine learning.

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