0
Your cart

Your cart is empty

Books > Computing & IT > Computer communications & networking

Not currently available

Artificial Intelligence in Economics and Finance Theories (Hardcover, 1st ed. 2020) Loot Price: R3,115
Discovery Miles 31 150
You Save: R196 (6%)
Artificial Intelligence in Economics and Finance Theories (Hardcover, 1st ed. 2020): Tankiso Moloi, Tshilidzi Marwala

Artificial Intelligence in Economics and Finance Theories (Hardcover, 1st ed. 2020)

Tankiso Moloi, Tshilidzi Marwala

Series: Advanced Information and Knowledge Processing

 (sign in to rate)
List price R3,311 Loot Price R3,115 Discovery Miles 31 150 | Repayment Terms: R292 pm x 12* You Save R196 (6%)

Bookmark and Share

Supplier out of stock. If you add this item to your wish list we will let you know when it becomes available.

As Artificial Intelligence (AI) seizes all aspects of human life, there is a fundamental shift in the way in which humans are thinking of and doing things. Ordinarily, humans have relied on economics and finance theories to make sense of, and predict concepts such as comparative advantage, long run economic growth, lack or distortion of information and failures, role of labour as a factor of production and the decision making process for the purpose of allocating resources among other theories. Of interest though is that literature has not attempted to utilize these advances in technology in order to modernize economic and finance theories that are fundamental in the decision making process for the purpose of allocating scarce resources among other things. With the simulated intelligence in machines, which allows machines to act like humans and to some extent even anticipate events better than humans, thanks to their ability to handle massive data sets, this book will use artificial intelligence to explain what these economic and finance theories mean in the context of the agent wanting to make a decision. The main feature of finance and economic theories is that they try to eliminate the effects of uncertainties by attempting to bring the future to the present. The fundamentals of this statement is deeply rooted in risk and risk management. In behavioural sciences, economics as a discipline has always provided a well-established foundation for understanding uncertainties and what this means for decision making. Finance and economics have done this through different models which attempt to predict the future. On its part, risk management attempts to hedge or mitigate these uncertainties in order for "the planner" to reach the favourable outcome. This book focuses on how AI is to redefine certain important economic and financial theories that are specifically used for the purpose of eliminating uncertainties so as to allow agents to make informed decisions. In effect, certain aspects of finance and economic theories cannot be understood in their entirety without the incorporation of AI.

General

Imprint: Springer Nature Switzerland AG
Country of origin: Switzerland
Series: Advanced Information and Knowledge Processing
Release date: May 2020
First published: 2020
Authors: Tankiso Moloi • Tshilidzi Marwala
Dimensions: 235 x 155mm (L x W)
Format: Hardcover
Pages: 125
Edition: 1st ed. 2020
ISBN-13: 978-3-03-042961-4
Categories: Books > Business & Economics > Economics > Economic theory & philosophy
Books > Computing & IT > Computer communications & networking > General
Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN: 3-03-042961-X
Barcode: 9783030429614

Is the information for this product incomplete, wrong or inappropriate? Let us know about it.

Does this product have an incorrect or missing image? Send us a new image.

Is this product missing categories? Add more categories.

Review This Product

No reviews yet - be the first to create one!

Partners