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Item #:
157283923
Understanding Complex Systems Artificial Intelligence, Learning and Computation in Economics and Finance, (Hardcover)
Item #:
157283923
NZD 290
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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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What Stands Out
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.
Product Details
- 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 format | Hardcover |
| Fiction/nonfiction | Non-Fiction |
| Genre | Textbooks |
| Publication date | February, 2023 |
| Pages | 325 |
| Subgenre | Physics |
| Series title | Understanding Complex Systems |
| Edition | 2023 Edition |
| Publisher | Springer International Publishing |
| Original languages | English |
| Language | English |
| Is collectible | N |
| Editor | Ragupathy Venkatachalam |
| Binding type | Case Binding |
| Recording time | 0 min |
| Retail packaging | Single 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 weight | 1.44 lb (650 grams) |
| Bisac subject heading | Science |
Who Should Buy?
-
Academics and Researchers
Ideal for individuals conducting advanced studies in economics and finance, particularly in complex systems and AI integration.
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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.
-
Beginners in AI
Not suitable for novice readers unfamiliar with AI concepts, as the content requires prior knowledge and understanding.
Product Description
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Customer Questions & Answers
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Question:
What is the primary focus of this book?
Answer: 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?
Answer: 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?
Answer: The book discusses methodologies such as agent-based modeling, numerical simulations, and the application of artificial intelligence and machine learning.
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NZD 290
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Features & Benefits
- Discover innovative computational methods in economics and finance.
- Learn from 16 chapters authored by leading pioneers in multiple disciplines.
- Explore agent-based modeling, numerical simulations, and AI tools for analysis.
- Gain insights on methodology, epistemology, and predictive validation.
- Stay ahead with the latest research blending economics and machine learning.
- Uncover practical applications of advanced computational theory.
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