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This book presents frontier research on the use of computational methods to model complex interactions in economics and finance.
| Book format | Hardcover |
| Fiction/nonfiction | Non-Fiction |
| Genre | Textbooks |
| Pub date | 20230216 |
| 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 |
| Retail packaging | Single Piece |
| Assembled product height | 9.21 in (23.4 cm) |
| Assembled product weight | 1.44 lb (650 grams) |
| Bisac subject heading | Science |
Ideal for individuals conducting advanced studies in economics and finance, particularly in complex systems and AI integration.
Useful for data professionals focused on applying AI techniques to financial modeling and economic forecasting.
Beneficial for government officials or advisors seeking to understand economic systems influenced by advanced computational methods.
Not suitable for novice readers unfamiliar with AI concepts, as the content requires prior knowledge and understanding.
Understanding Complex Systems Artificial Intelligence, Learning and Computation in Economics and Finance, Hardcover
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